collection of diffusion model papers categorized by their subareas
2,224
779 commits
updated Mar 16, 2026
The Art of Deception: Color Visual Illusions and Diffusion Models
[CVPR 2025]
[Project]
[Code]
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
[CVPR 2024]
[Project]
[Code]
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
[CVPR 2025]
[Project]
[Code]
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
[ECCV 2024]
[Project]
[Code]
Diffusion Illusions: Hiding Images in Plain Sight
[Website]
[Project]
[Code]
Diffusion-based Visual Anagram as Multi-task Learning
[WACV 2025]
[Code]
Evaluating Model Perception of Color Illusions in Photorealistic Scenes
[Website]
[Code]
Illusion3D: 3D Multiview Illusion with 2D Diffusion Priors
[Website]
[Project]
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
[ECCV 2024]
[Project]
[Code]
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
[NeurIPS 2025]
[Project]
[Code]
Not Every Gift Comes in Gold Paper or with a Red Ribbon: Exploring Color Perception in Text-to-Image Models
[WACV 2026]
[Project]
[Code]
Color Conditional Generation with Sliced Wasserstein Guidance
[NeurIPS 2025]
[Code]
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
[WACV 2026]
[Project]
Evaluating Model Perception of Color Illusions in Photorealistic Scenes
[Website]
[Code]
Exploring Palette based Color Guidance in Diffusion Models
[ACM MM 2025]
Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation
[ACM MM 2025]
GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models
[Website]
Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
[Website]
DiffBrush:Just Painting the Art by Your Hands
[Website]
GenColor: Generative Color-Concept Association in Visual Design
[Website]
Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis
[Website]
Color encoding in Latent Space of Stable Diffusion Models
[Website]
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
[CVPR 2025]
[Project]
[Code]
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
CountCluster: Training-Free Object Quantity Guidance with Cross-Attention Map Clustering for Text-to-Image Generation
[Website]
[Code]
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
[ICCV 2025]
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
[Website]
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
[Website]
[Project]
[Code]
CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
[Website]
[Code]
PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
[CVPR 2025]
[Project]
POSTA: A Go-to Framework for Customized Artistic Poster Generation
[CVPR 2025]
[Project]
DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
[Website]
[Project]
LogoDiffuser: Training-Free Multilingual Logo Generation and Stylization via Letter-Aware Attention Control
[Website]
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
[ICLR 2024 Spotlight]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
SDXL-Turbo: Adversarial Diffusion Distillation
[Website]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
[Website]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
[Website]
[Diffusers]
[Project]
[Code]
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
[Website]
[Project]
[Code]
DMD2: Improved Distribution Matching Distillation for Fast Image Synthesis
[NeurIPS 2024 Oral]
[Project]
[Code]
DMD1: One-step Diffusion with Distribution Matching Distillation
[CVPR 2024]
[Project]
[Code]
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
[NeurIPS 2025]
[Project]
[Code]
Consistency Models
[ICML 2023]
[Diffusers]
[Code]
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
[CVPR 2024]
[Project]
[Code]
SwiftBrush V2: Make Your One-Step Diffusion Model Better Than Its Teacher
[ECCV 2024]
[Project]
[Code]
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
[CVPR 2024]
[Project]
[Code]
PCM : Phased Consistency Model
[NeurIPS 2024]
[Project]
[Code]
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
[NeurIPS 2024]
[Project]
[Code]
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
[NeurIPS 2024]
[Project]
[Code]
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
[CVPR 2025]
[Project]
[Code]
DIMO:Distilling Masked Diffusion Models into One-step Generator
[Website]
[Project]
[Code]
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
[Website]
[Project]
[Code]
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
[Website]
[Project]
[Code]
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
[Website]
[Project]
[Code]
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
[Website]
[Project]
[Code]
Scale-wise Distillation of Diffusion Models
[Website]
[Project]
[Code]
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
[Website]
[Project]
[Code]
Adaptive Caching for Faster Video Generation with Diffusion Transformers
[Website]
[Project]
[Code]
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
[Website]
[Project]
[Code]
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
[Website]
[Project]
[Code]
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
[Website]
[Project]
[Code]
Reward Guided Latent Consistency Distillation
[Website]
[Project]
[Code]
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
[Website]
[Project]
[Code]
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
[Website]
[Project]
[Code]
AccVideo: Accelerating Video Diffusion Model with Synthetic Dataset
[Website]
[Project]
[Code]
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
[Website]
[Project]
[Code]
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
[Website]
[Project]
[Code]
MagCache: Fast Video Generation with Magnitude-Aware Cache
[Website]
[Project]
[Code]
Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
[Website]
[Project]
[Code]
Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching
[Website]
[Project]
[Code]
Distilling Diversity and Control in Diffusion Models
[Website]
[Project]
[Code]
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
[Website]
[Project]
[Code]
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
[Website]
[Project]
[Code]
Glance: Accelerating Diffusion Models with 1 Sample
[Website]
[Project]
[Code]
No Cache Left Idle: Accelerating diffusion model via Extreme-slimming Caching
[Website]
[Project]
[[Code](https://github.com/THU-AccDiff/xslim/]
Relational Feature Caching for Accelerating Diffusion Transformers
[Website]
[Project]
[[Code](https://github.com/cvlab-yonsei]
One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models
[CVPR 2025]
[Code]
Relational Diffusion Distillation for Efficient Image Generation
[ACM MM 2024 (Oral)]
[Code]
Autoregressive Distillation of Diffusion Transformers
[CVPR 2025 Oral]
[Code]
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
[CVPR 2024]
[Code]
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
[CVPR 2025]
[Code]
ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs
[AAAI 2026]
[Code]
SADA: Stability-guided Adaptive Diffusion Acceleration
[ICML 2025]
[Code]
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
[ECCV 2024]
[Code]
Accelerating Image Generation with Sub-path Linear Approximation Model
[ECCV 2024]
[Code]
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
[NeurIPS 2023]
[Code]
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
[NeurIPS 2024]
[Code]
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
[CVPR 2026]
[Code]
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
[ICML 2024]
[Code]
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
[ICML 2024]
[Code]
On the Trajectory Regularity of ODE-based Diffusion Sampling
[ICML 2024]
[Code]
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
[ICLR 2024]
[Code]
Improved Training Technique for Latent Consistency Models
[ICLR 2025]
[Code]
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
[AAAI 2026]
[Code]
Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
[ACM MM 2025]
[Code]
CacheQuant: Comprehensively Accelerated Diffusion Models
[CVPR 2025]
[Code]
SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models
[CVPR 2026]
[Code]
Accelerating Vision Diffusion Transformers with Skip Branches
[Website]
[Code]
Accelerating Diffusion Transformers with Dual Feature Caching
[Website]
[Code]
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
[Website]
[Code]
Exposure Bias Reduction for Enhancing Diffusion Transformer Feature Caching
[Website]
[Code]
One Step Diffusion via Shortcut Models
[Website]
[Code]
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
[Website]
[Code]
DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance
[Website]
[Code]
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
[Website]
[Code]
Stable Consistency Tuning: Understanding and Improving Consistency Models
[Website]
[Code]
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models
[Website]
[Code]
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
[Website]
[Code]
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
[Website]
[Code]
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
[Website]
[Code]
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation
[Website]
[Code]
Diffusion Models Are Innate One-Step Generators
[Website]
[Code]
Optimal Stepsize for Diffusion Sampling
[Website]
[Code]
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
[Website]
[Code]
Few-Step Diffusion via Score identity Distillation
[Website]
[Code]
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
[Website]
[Code]
SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
[Website]
[Code]
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
[Website]
[Code]
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
[Website]
[Code]
SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching
[Website]
[Code]
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
[Website]
[Code]
DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space
[Website]
[Code]
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
[Website]
[Code]
Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
[Website]
[Code]
pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
[Website]
[Code]
Towards One-step Causal Video Generation via Adversarial Self-Distillation
[Website]
[Code]
RedVTP: Training-Free Acceleration of Diffusion Vision-Language Models Inference via Masked Token-Guided Visual Token Pruning
[Website]
[Code]
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
[Website]
[Code]
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
[Website]
[Code]
CorGi: Contribution-Guided Block-Wise Interval Caching for Training-Free Acceleration of Diffusion Transformers
[Website]
[Code]
ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation
[Website]
[Code]
Jano: Adaptive Diffusion Generation with Early-stage Convergence Awareness
[Website]
[Code]
SODA: Sensitivity-Oriented Dynamic Acceleration for Diffusion Transformer
[Website]
[Code]
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
[Website]
[Code]
Distilling Diffusion Models into Conditional GANs
[ECCV 2024]
[Project]
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
[NeurIPS 2025]
[Project]
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
[CVPR 2024]
[Project]
Plug-and-Play Diffusion Distillation
[CVPR 2024]
[Project]
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
[NeurIPS 2023]
[Project]
One-step Diffusion Models with f-Divergence Distribution Matching
[Website]
[Project]
MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Portrait Few-Step Synthesis
[Website]
[Project]
Diffusion Adversarial Post-Training for One-Step Video Generation
[Website]
[Project]
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance
[Website]
[Project]
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
[Website]
[Project]
Truncated Consistency Models
[Website]
[Project]
Multi-student Diffusion Distillation for Better One-step Generators
[Website]
[Project]
Effortless Efficiency: Low-Cost Pruning of Diffusion Models
[Website]
[Project]
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
[Website]
[Project]
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
[Website]
[Project]
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
[Website]
[Project]
Training-Free Motion Customization for Distilled Video Generators with Adaptive Test-Time Distillation
[Website]
[Project]
Forecasting When to Forecast: Accelerating Diffusion Models with Confidence-Gated Taylor
[Website]
[Project]
POSE: Phased One-Step Adversarial Equilibrium for Video Diffusion Models
[Website]
[Project]
Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation
[Website]
[Project]
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
[Website]
[Project]
Self-Evaluation Unlocks Any-Step Text-to-Image Generation
[Website]
[Project]
Transition Matching Distillation for Fast Video Generation
[Website]
[Project]
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
[Website]
[Project]
FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
[Website]
[Project]
Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis
[ICCV 2025 (Highlight)]
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
[ICCV 2025]
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
[NeurIPS 2024]
One-Step Diffusion Distillation through Score Implicit Matching
[NeurIPS 2024]
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
[AAAI 2025]
TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration
[CVPR 2026]
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers
[CVPR 2025]
PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
[CVPR 2025]
MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
[CVPR 2025]
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
[ICML 2025]
Accelerate High-Quality Diffusion Models with Inner Loop Feedback
[Website]
Accelerating Diffusion Transformer via Error-Optimized Cache
[Website]
DICE: Distilling Classifier-Free Guidance into Text Embeddings
[Website]
ProReflow: Progressive Reflow with Decomposed Velocity
[Website]
Inference-Time Diffusion Model Distillation
[Website]
Taming Consistency Distillation for Accelerated Human Image Animation
[Website]
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
[Website]
HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration
[Website]
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models
[Website]
MLCM: Multistep Consistency Distillation of Latent Diffusion Model
[Website]
EM Distillation for One-step Diffusion Models
[Website]
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
[Website]
Score-of-Mixture Training: Training One-Step Generative Models Made Simple
[Website]
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
[Website]
Importance-based Token Merging for Diffusion Models
[Website]
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation
[Website]
Accelerating Diffusion Models with One-to-Many Knowledge Distillation
[Website]
Accelerating Video Diffusion Models via Distribution Matching
[Website]
TDDSR: Single-Step Diffusion with Two Discriminators for Super Resolution
[Website]
DDIL: Improved Diffusion Distillation With Imitation Learning
[Website]
OSV: One Step is Enough for High-Quality Image to Video Generation
[Website]
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
[Website]
Token Caching for Diffusion Transformer Acceleration
[Website]
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
[Website]
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
[Website]
Flow Generator Matching
[Website]
Multistep Distillation of Diffusion Models via Moment Matching
[Website]
SFDDM: Single-fold Distillation for Diffusion models
[Website]
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
[Website]
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
[Website]
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
[Website]
Ditto: Accelerating Diffusion Model via Temporal Value Similarity
[Website]
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training
[Website]
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
[Website]
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
[Website]
Efficient Distillation of Classifier-Free Guidance using Adapters
[Website]
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
[Website]
Inductive Moment Matching
[Website]
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching
[Website]
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
[Website]
Mean Flows for One-step Generative Modeling
[Website]
Faster Video Diffusion with Trainable Sparse Attention
[Website]
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling
[Website]
SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation
[Website]
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
[Website]
RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy
[Website]
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
[Website]
Accelerating Diffusion Large Language Models with SlowFast: The Three Golden Principles
[Website]
Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation
[Website]
Upsample What Matters: Region-Adaptive Latent Sampling for Accelerated Diffusion Transformers
[Website]
Accelerating Parallel Diffusion Model Serving with Residual Compression
[Website]
SwiftVideo: A Unified Framework for Few-Step Video Generation through Trajectory-Distribution Alignment
[Website]
MixCache: Mixture-of-Cache for Video Diffusion Transformer Acceleration
[Website]
Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
[Website]
DiCache: Let Diffusion Model Determine Its Own Cache
[Website]
HiCache: Training-free Acceleration of Diffusion Models via Hermite Polynomial-based Feature Caching
[Website]
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
[Website]
BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
[Website]
RAPID^3: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
[Website]
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
[Website]
CLQ: Cross-Layer Guided Orthogonal-based Quantization for Diffusion Transformers
[Website]
Score Distillation of Flow Matching Models
[Website]
Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
[Website]
LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation
[Website]
FreqCa: Accelerating Diffusion Models via Frequency-Aware Caching
[Website]
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
[Website]
Test-Time Iterative Error Correction for Efficient Diffusion Models
[Website]
From Structure to Detail: Hierarchical Distillation for Efficient Diffusion Model
[Website]
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling
[Website]
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning
[Website]
GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
[Website]
InvarDiff: Cross-Scale Invariance Caching for Accelerated Diffusion Models
[Website]
USV: Unified Sparsification for Accelerating Video Diffusion Models
[Website]
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows
[Website]
Few-Step Distillation for Text-to-Image Generation: A Practical Guide
[Website]
On the Design of One-step Diffusion via Shortcutting Flow Paths
[Website]
OUSAC: Optimized Guidance Scheduling with Adaptive Caching for DiT Acceleration
[Website]
Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
[Website]
Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Efficient Diffusion Transformers
[Website]
DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching
[Website]
NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices
[Website]
DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
[Website]
LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration
[Website]
Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
[Website]
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
[Website]
TC-Padé: Trajectory-Consistent Padé Approximation for Diffusion Acceleration
[Website]
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
[NeurIPS 2024]
[Project]
[Code]
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
[NeurIPS 2024]
[Project]
[Code]
DeepCache: Accelerating Diffusion Models for Free
[CVPR 2024]
[Project]
[Code]
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers
[Website]
[Project]
[Code]
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
[NeurIPS 2024]
[Code]
DiTFastAttn: Attention Compression for Diffusion Transformer Models
[NeurIPS 2024]
[Code]
Structural Pruning for Diffusion Models
[NeurIPS 2023]
[Code]
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
[ICCV 2023]
[Code]
Agent Attention: On the Integration of Softmax and Linear Attention
[ECCV 2024]
[Code]
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
[CVPR 2025]
[Code]
Token Merging for Fast Stable Diffusion
[CVPRW 2024]
[Code]
LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation
[Website]
[Code]
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration
[Website]
[Code]
Real-Time Video Generation with Pyramid Attention Broadcast
[Website]
[Code]
Accelerating Diffusion Transformers with Token-wise Feature Caching
[Website]
[Code]
TGATE-V1: Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
[Website]
[Code]
TGATE-V2: Faster Diffusion via Temporal Attention Decomposition
[Website]
[Code]
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
[Website]
[Code]
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
[CVPR 2024]
[Project]
Training-free Diffusion Acceleration with Bottleneck Sampling
[Website]
[Project]
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
[Website]
[Project]
Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment
[ICCV 2025]
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
[WACV 2024]
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
[Website]
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future
[Website]
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
[Website]
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
[Website]
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences
[Website]
Fast constrained sampling in pre-trained diffusion models
[Website]
Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas
[Website]
ETC: training-free diffusion models acceleration with Error-aware Trend Consistency
[Website]
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
[ICLR 2025]
[Project]
[Code]
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
[ICLR 2025]
[Code]
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
[ICLR 2025]
[Code]
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation
[Website]
[Code]
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL
[Website]
[Code]
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
[Website]
SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation
[Website]
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
[Website]
Fast-ARDiff: An Entropy-informed Acceleration Framework for Continuous Space Autoregressive Generation
[Website]
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
[CVPR 2025]
[Project]
[Code]
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
[ICCV 2025]
[Project]
[Code]
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
[Website]
[Code]
SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping
[Website]
[Code]
Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis
[Website]
[Code]
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
[Website]
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
[ECCV 2024 Oral]
[Project]
[Code]
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[ICLR 2023 oral]
[Project]
[Code]
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
[CVPR 2024]
[Project]
[Code]
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
[CVPR 2024]
[Project]
[Code]
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
[CVPR 2024]
[Project]
[Code]
From Posterior Sampling to Meaningful Diversity in Image Restoration
[ICLR 2024]
[Project]
[Code]
Generative Diffusion Prior for Unified Image Restoration and Enhancement
[CVPR 2023]
[Project]
[Code]
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
[ECCV 2024]
[Project]
[Code]
Image Restoration with Mean-Reverting Stochastic Differential Equations
[ICML 2023]
[Project]
[Code]
PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
[NeurIPS 2024 Spotlight]
[Project]
[Code]
Denoising Diffusion Models for Plug-and-Play Image Restoration
[CVPR 2023 Workshop NTIRE]
[Project]
[Code]
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
[Website]
[Project]
[Code]
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
[Website]
[Project]
[Code]
SVFR: A Unified Framework for Generalized Video Face Restoration
[Website]
[Project]
[Code]
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
[Website]
[Project]
[Code]
Solving Video Inverse Problems Using Image Diffusion Models
[Website]
[Project]
[Code]
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
[Website]
[Project]
[Code]
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
[Website]
[Project]
[Code]
GenDR: Lightning Generative Detail Restorator
[Website]
[Project]
[Code]
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
[Website]
[Project]
[Code]
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
[Website]
[Project]
[Code]
Text-Aware Image Restoration with Diffusion Models
[Website]
[Project]
[Code]
LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
[Website]
[Project]
[Code]
Zero-Shot Video Deraining with Video Diffusion Models
[Website]
[Project]
[Code]
TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration
[Website]
[Project]
[Code]
FlowIE: Efficient Image Enhancement via Rectified Flow
[CVPR 2024 oral]
[Code]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
[NeurIPS 2023 (Spotlight)]
[Code]
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
[ICML 2023 oral]
[Code]
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
[NeurIPS 2024 Spotlight]
[Code]
DiffIR: Efficient Diffusion Model for Image Restoration\
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
[ICCV 2025]
[Code]
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
[CVPR 2024]
[Code]
InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
[ICLR 2025]
[Code]
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
[ECCV 2024]
[Code]
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
[ECCV 2024]
[Code]
DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problem
[ECCV 2024]
[Code]
Low-Light Image Enhancement with Wavelet-based Diffusion Models
[SIGGRAPH Asia 2023]
[Code]
Residual Denoising Diffusion Models
[CVPR 2024]
[Code]
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
[CVPR 2024]
[Code]
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
[CVPR 2025]
[Code]
Deep Equilibrium Diffusion Restoration with Parallel Sampling
[CVPR 2024]
[Code]
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing
[ECCV 2024]
[Code]
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
[NeurIPS 2024]
[Code]
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
[NeurIPS 2024]
[Code]
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
[NeurIPS 2024]
[Code]
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
[CVPR 2025]
[Code]
Learning to See in the Extremely Dark
[ICCV 2025]
[Code]
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
[AAAI 2025]
[Code]
Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
[AAAI 2026]
[Code]
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
[CVPR 2024]
[Code]
Enhancing Diffusion Model Stability for Image Restoration via Gradient Management
[ACM MM 2025]
[Code]
PerTouch: VLM-Driven Agent for Personalized and Semantic Image Retouching
[AAAI 2026]
[Code]
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
[CVPR 2023 Workshop NTIRE]
[Code]
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement
[CVPR 2024 Workshop NTIRE]
[Code]
JPEG Artifact Correction using Denoising Diffusion Restoration Models
[NeurIPS 2022 Workshop]
[Code]
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
[Website]
[Code]
InstructRestore: Region-Customized Image Restoration with Human Instructions
[Website]
[Code]
Decoupled Data Consistency with Diffusion Purification for Image Restoration
[Website]
[Code]
One-Step Diffusion Model for Image Motion-Deblurring
[Website]
[Code]
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression
[Website]
[Code]
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
[Website]
[Code]
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
[Website]
[Code]
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
[Website]
[Code]
DeblurDiff: Real-World Image Deblurring with Generative Diffusion Models
[Website]
[Code]
UniProcessor: A Text-induced Unified Low-level Image Processor
[Website]
[Code]
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
[Website]
[Code]
Varformer: Adapting VAR's Generative Prior for Image Restoration
[Website]
[Code]
Low-Light Image Enhancement via Generative Perceptual Priors
[Website]
[Code]
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
[Website]
[Code]
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement
[Website]
[Code]
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
[Website]
[Code]
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
[Website]
[Code]
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring
[Website]
[Code]
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
[Website]
[Code]
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
[Website]
[Code]
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior
[Website]
[Code]
Frequency Compensated Diffusion Model for Real-scene Dehazing
[Website]
[Code]
Efficient Image Deblurring Networks based on Diffusion Models
[Website]
[Code]
Blind Image Restoration via Fast Diffusion Inversion
[Website]
[Code]
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
[Website]
[Code]
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
[Website]
[Code]
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
[Website]
[Code]
Unlimited-Size Diffusion Restoration
[Website]
[Code]
UniDB++: Fast Sampling of Unified Diffusion Bridge
[Website]
[Code]
VmambaIR: Visual State Space Model for Image Restoration
[Website]
[Code]
InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
[Website]
[Code]
Using diffusion model as constraint: Empower Image Restoration Network Training with Diffusion Model
[Website]
[Code]
Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion Model
[Website]
[Code]
BD-Diff: Generative Diffusion Model for Image Deblurring on Unknown Domains with Blur-Decoupled Learning
[Website]
[Code]
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
[Website]
[Code]
Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
[Website]
[Code]
Residual Diffusion Bridge Model for Image Restoration
[Website]
[Code]
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
[Website]
[Code]
EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
[Website]
[Code]
Equivariant Sampling for Improving Diffusion Model-based Image Restoration
[Website]
[Code]
Fose: Fusion of One-Step Diffusion and End-to-End Network for Pansharpening
[Website]
[Code]
MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
[Website]
[Code]
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
[CVPR 2025]
[Project]
TIP: Text-Driven Image Processing with Semantic and Restoration Instructions
[ECCV 2024]
[Project]
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
[NeurIPS 2024]
[Project]
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration
[Website]
[Project]
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
[Website]
[Project]
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
[Website]
[Project]
SILO: Solving Inverse Problems with Latent Operators
[Website]
[Project]
Proxies for Distortion and Consistency with Applications for Real-World Image Restoration
[Website]
[Project]
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations
[Website]
[Project]
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision
[Website]
[Project]
From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing
[Website]
[Project]
FlowSteer: Conditioning Flow Field for Consistent Image Restoration
[Website]
[Project]
CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real Videos
[Website]
[Project]
BlurDM: A Blur Diffusion Model for Image Deblurring
[NeurIPS 2025]
DREAMCLEAN: RESTORING CLEAN IMAGE USING DEEP DIFFUSION PRIOR
[ICLR 2025]
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
[ICCV 2023]
Multiscale Structure Guided Diffusion for Image Deblurring
[ICCV 2023]
Boosting Image Restoration via Priors from Pre-trained Models
[CVPR 2024]
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration
[CVPR 2025]
Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
[CVPR 2025]
Reversing Flow for Image Restoration
[CVPR 2025]
Dual Prompting Image Restoration with Diffusion Transformers
[CVPR 2025]
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
[ICML 2025]
Exploiting Diffusion Prior for Task-driven Image Restoration
[ICCV 2025]
Seeing Beyond Haze: Generative Nighttime Image Dehazing
[Website]
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
[Website]
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
[Website]
A Modular Conditional Diffusion Framework for Image Reconstruction
[Website]
Solving Inverse Problems using Diffusion with Fast Iterative Renoising
[Website]
Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model
[Website]
Particle-Filtering-based Latent Diffusion for Inverse Problems
[Website]
Bayesian Conditioned Diffusion Models for Inverse Problem
[Website]
ReCo-Diff: Explore Retinex-Based Condition Strategy in Diffusion Model for Low-Light Image Enhancement
[Website]
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
[Website]
Tell Me What You See: Text-Guided Real-World Image Denoising
[Website]
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
[Website]
Prototype Clustered Diffusion Models for Versatile Inverse Problems
[Website]
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
[Website]
Taming Generative Diffusion for Universal Blind Image Restoration
[Website]
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL
[Website]
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration
[Website]
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior
[Website]
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
[Website]
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration
[Website]
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process
[Website]
Diffusion State-Guided Projected Gradient for Inverse Problems
[Website]
InstantIR: Blind Image Restoration with Instant Generative Reference
[Website]
Score-Based Variational Inference for Inverse Problems
[Website]
Towards Flexible and Efficient Diffusion Low Light Enhancer
[Website]
AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting
[Website]
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
[Website]
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
[Website]
STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors
[Website]
DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration
[Website]
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
[Website]
DIVD: Deblurring with Improved Video Diffusion Model
[Website]
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration
[Website]
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
[Website]
Are Conditional Latent Diffusion Models Effective for Image Restoration?
[Website]
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
[Website]
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration
[Website]
Diffusion Restoration Adapter for Real-World Image Restoration
[Website]
Noise Synthesis for Low-Light Image Denoising with Diffusion Models
[Website]
A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising
[Website]
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
[Website]
Diffusion Image Prior
[Website]
Invert2Restore: Zero-Shot Degradation-Blind Image Restoration
[Website]
Blind Inversion using Latent Diffusion Priors
[Website]
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image
[Website]
IDDM: Bridging Synthetic-to-Real Domain Gap from Physics-Guided Diffusion for Real-world Image Dehazing
[Website]
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor
[Website]
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration
[Website]
Dual Ascent Diffusion for Inverse Problems
[Website]
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
[Website]
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
[Website]
DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
[Website]
Latent Guidance in Diffusion Models for Perceptual Evaluations
[Website]
Solving Inverse Problems with FLAIR
[Website]
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
[Website]
Restereo: Diffusion stereo video generation and restoration
[Website]
UniRes: Universal Image Restoration for Complex Degradations
[Website]
Zero-Shot Solving of Imaging Inverse Problems via Noise-Refined Likelihood Guided Diffusion Models
[Website]
Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration
[Website]
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
[Website]
Harnessing Diffusion-Yielded Score Priors for Image Restoration
[Website]
UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration
[Website]
ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration
[Website]
Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration
[Website]
DiTVR: Zero-Shot Diffusion Transformer for Video Restoration
[Website]
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration
[Website]
OS-DiffVSR: Towards One-step Latent Diffusion Model for High-detailed Real-world Video Super-Resolution
[Website]
Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement
[Website]
Noise is All You Need: Solving Linear Inverse Problems by Noise Combination Sampling with Diffusion Models
[Website]
Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
[Website]
Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration
[Website]
InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior
[Website]
BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching
[Website]
UnfoldLDM: Deep Unfolding-based Blind Image Restoration with Latent Diffusion Priors
[Website]
CARD: Correlation Aware Restoration with Diffusion
[Website]
SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
[Website]
Measurement-Consistent Langevin Corrector: A Remedy for Latent Diffusion Inverse Solvers
[Website]
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
[Website]
Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models
[Website]
LCUDiff: Latent Capacity Upgrade Diffusion for Faithful Human Body Restoration
[Website]
LVCD: Reference-based Lineart Video Colorization with Diffusion Models
[SIGGRAPH Asia 2024]
[Project]
[Code]
Cobra: Efficient Line Art COlorization with BRoAder References
[SIGGRAPH 2025]
[Project]
[Code]
MagicColor: Multi-Instance Sketch Colorization
[Website]
[Project]
[Code]
ColorFlow: Retrieval-Augmented Image Sequence Colorization
[Website]
[Project]
[Code]
Control Color: Multimodal Diffusion-based Interactive Image Colorization
[Website]
[Project]
[Code]
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
[Website]
[Project]
[Code]
MangaNinja: Line Art Colorization with Precise Reference Following
[Website]
[Project]
[Code]
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
[Website]
[Project]
[Code]
VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
[Website]
[Project]
[Code]
SketchColour: Channel Concat Guided DiT-based Sketch-to-Colour Pipeline for 2D Animation
[Website]
[Project]
[Code]
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
[Website]
[Code]
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
[Website]
[Code]
Image Referenced Sketch Colorization Based on Animation Creation Workflow
[Website]
[Code]
ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
[Website]
[Code]
ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
[Website]
[Code]
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
[Website]
[Code]
Diffusing Colors: Image Colorization with Text Guided Diffusion
[SIGGRAPH Asia 2023]
[Project]
VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
[Website]
[Project]
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
[Website]
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
[Website]
Consistent Video Colorization via Palette Guidance
[Website]
L-C4: Language-Based Video Colorization for Creative and Consistent Color
[Website]
LatentColorization: Latent Diffusion-Based Speaker Video Colorization
[Website]
Controllable Image Colorization with Instance-aware Texts and Masks
[Website]
AnimeColor: Reference-based Animation Colorization with Diffusion Transformers
[Website]
MangaDiT: Reference-Guided Line Art Colorization with Hierarchical Attention in Diffusion Transformers
[Website]
Enhancing Reference-based Sketch Colorization via Separating Reference Representations
[Website]
Prompt-based Consistent Video Colorization
[Website]
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
[ICLR 2025]
[Website]
[Project]
[Code]
[Demo]
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
[Website]
[Project]
[Code]
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
[Website]
[Project]
[Code]
OSDFace: One-Step Diffusion Model for Face Restoration
[Website]
[Project]
[Code]
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
[CVPR 2023]
[Code]
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
[NeurIPS 2023]
[Code]
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models
[WACV 2023]
[Code]
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
[WACV 2025]
[Code]
HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
[Website]
[Code]
DifFace: Blind Face Restoration with Diffused Error Contraction
[Website]
[Code]
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
[Website]
[Code]
Towards Real-World Blind Face Restoration with Generative Diffusion Prior
[Website]
[Code]
QuantFace: Low-Bit Post-Training Quantization for One-Step Diffusion Face Restoration
[Website]
[Code]
Towards Unsupervised Blind Face Restoration using Diffusion Prior
[Website]
[Project]
DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance
[ICCV 2025]
InfoBFR: Real-World Blind Face Restoration via Information Bottleneck
[Website]
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
[Website]
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
[Website]
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration
[Website]
Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
[Website]
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
[Website]
DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration
[Website]
Face2Face: Label-driven Facial Retouching Restoration
[Website]
WaveFace: Authentic Face Restoration with Efficient Frequency Recovery
[Website]
DiffusionReward: Enhancing Blind Face Restoration through Reward Feedback Learning
[Website]
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter
[Website]
Unlocking the Potential of Diffusion Priors in Blind Face Restoration
[Website]
BIR-Adapter: A Low-Complexity Diffusion Model Adapter for Blind Image Restoration
[Website]
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
[ICML 2025]
[Project]
[Code]
DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
[CVPR 2026]
[Project]
[Code]
OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
[NeurIPS 2025]
[Code]
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
[IEE TCSVT 2024]
[Code]
Taming Large Multimodal Agents for Ultra-low Bitrate Semantically Disentangled Image Compression
[CVPR 2025]
[Code]
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
[CVPR 2025]
[Code]
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
[ICCV 2025]
[Code]
PerCoV2: Improved Ultra-Low Bit-Rate Perceptual Image Compression with Implicit Hierarchical Masked Image Modeling
[Website]
[Code]
Diffusion-based Extreme Image Compression with Compressed Feature Initialization
[Website]
[Code]
Lossy Compression with Pretrained Diffusion Models
[Website]
[Code]
DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates
[Website]
[Code]
Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression
[Website]
[Code]
Compressed Image Generation with Denoising Diffusion Codebook Models
[Website]
[Project]
Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression
[Website]
[Project]
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
[ICLR 2025]
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
[AAAI 2025]
Invertible Diffusion Models for Compressed Sensing
[TPAMI 2025]
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse
[Website]
Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression
[Website]
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning
[Website]
Towards Facial Image Compression with Consistency Preserving Diffusion Prior
[Website]
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
[Website]
One-Step Diffusion-Based Image Compression with Semantic Distillation
[Website]
Fast Training-free Perceptual Image Compression
[Website]
Conditional Video Generation for High-Efficiency Video Compression
[Website]
CoD: A Diffusion Foundation Model for Image Compression
[Website]
Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
[Website]
Generative Neural Video Compression via Video Diffusion Prior
[Website]
SLIM: Semantic-based Low-bitrate Image compression for Machines by leveraging diffusion
[Website]
Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement
[Website]
DiffVC-RT: Towards Practical Real-Time Diffusion-based Perceptual Neural Video Compression
[Website]
CADC: Content Adaptive Diffusion-Based Generative Image Compression
[Website]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
[NeurIPS 2023 spotlight]
[Website]
[Project]
[Code]
Image Super-Resolution via Iterative Refinement
[TPAMI]
[Website]
[Project]
[Code]
DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution
[ECCV 2024]
[Project]
[Code]
Kalman-Inspired Feature Propagation for Video Face Super-Resolution
[ECCV 2024]
[Project]
[Code]
LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only four RTX4090S
[Website]
[Project]
[Code]
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
[Website]
[Project]
[Code]
Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution
[Website]
[Project]
[Code]
MatchDiffusion: Training-free Generation of Match-cuts
[Website]
[Project]
[Code]
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
[Website]
[Project]
[Code]
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
[Website]
[Project]
[Code]
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
[Website]
[Project]
[Code]
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
[Website]
[Project]
[Code]
Exploiting Diffusion Prior for Real-World Image Super-Resolution
[Website]
[Project]
[Code]
FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution
[Website]
[Project]
[Code]
Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion
[Website]
[Project]
[Code]
Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
[ICLR 2026]
[Code]
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
[CVPR 2024]
[Code]
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
[CVPR 2024]
[Code]
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
[NeurIPS 2024]
[Code]
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
[NeurIPS 2024]
[Code]
Iterative Token Evaluation and Refinement for Real-World Super-Resolution
[AAAI 2024]
[Code]
MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution
[Website]
[Code]
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
[Website]
[Code]
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
[Website]
[Code]
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
[Website]
[Code]
Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution
[Website]
[Code]
Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors
[Website]
[Code]
One Step Diffusion-based Super-Resolution with Time-Aware Distillation
[Website]
[Code]
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
[Website]
[Code]
Visual Autoregressive Modeling for Image Super-Resolution
[Website]
[Code]
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
[Website]
[Code]
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors
[Website]
[Code]
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
[Website]
[Code]
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
[Website]
[Code]
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
[Website]
[Code]
Binarized Diffusion Model for Image Super-Resolution
[Website]
[Code]
Does Diffusion Beat GAN in Image Super Resolution?
[Website]
[Code]
PatchScaler: An Efficient Patch-independent Diffusion Model for Super-Resolution
[Website]
[Code]
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
[Website]
[Code]
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
[Website]
[Code]
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
[Website]
[Code]
Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
[Website]
[Code]
Arbitrary-steps Image Super-resolution via Diffusion Inversion
[Website]
[Code]
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
[Website]
[Code]
DSR-Diff: Depth Map Super-Resolution with Diffusion Model
[Website]
[Code]
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
[Website]
[Code]
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
[Website]
[Code]
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
[Website]
[Code]
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
[Website]
[Code]
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
[Website]
[Code]
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
[Website]
[Code]
QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-Resolution
[Website]
[Code]
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
[Website]
[Code]
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
[Website]
[Code]
Consistency Trajectory Matching for One-Step Generative Super-Resolution
[Website]
[Code]
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
[Website]
[Code]
Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models
[Website]
[Code]
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
[Website]
[Code]
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
[Website]
[Code]
QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
[Website]
[Code]
OMGSR: You Only Need One Mid-timestep Guidance for Real-World Image Super-Resolution
[Website]
[Code]
Ultra-High-Definition Reference-Based Landmark Image Super-Resolution with Generative Diffusion Prior
[Website]
[Code]
InfVSR: Breaking Length Limits of Generic Video Super-Resolution
[Website]
[Code]
SCEESR: Semantic-Control Edge Enhancement for Diffusion-Based Super-Resolution
[Website]
[Code]
PGP-DiffSR: Phase-Guided Progressive Pruning for Efficient Diffusion-based Image Super-Resolution
[Website]
[Code]
OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution
[Website]
[Code]
Bridging Fidelity-Reality with Controllable One-Step Diffusion for Image Super-Resolution
[Website]
[Code]
FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution
[Website]
[Code]
Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
[Website]
[Code]
Disentangled Textual Priors for Diffusion-based Image Super-Resolution
[Website]
[Code]
The Power of Context: How Multimodality Improves Image Super-Resolution
[Website]
[Project]
SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution
[Website]
[Project]
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution
[Website]
[Project]
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency
[Website]
[Project]
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution
[Website]
[Project]
Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
[Website]
[Project]
UniMMVSR: A Unified Multi-Modal Framework for Cascaded Video Super-Resolution
[Website]
[Project]
SkipSR: Faster Super Resolution with Token Skipping
[Website]
[Project]
STCDiT: Spatio-Temporally Consistent Diffusion Transformer for High-Quality Video Super-Resolution
[Website]
[Project]
FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution
[Website]
[Project]
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models
[ICCV 2023]
[Website]
TurboVSR: Fantastic Video Upscalers and Where to Find Them
[ICCV 2025]
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
[NeurIPS 2025]
PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution
[CVPR 2025]
Text-guided Explorable Image Super-resolution
[CVPR 2024]
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder
[CVPR 2024]
AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution
[CVPR 2024]
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
[AAAI 2024]
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
[AAAI 2025]
DP2O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolutio
[NeurIPS 2025]
Detail-Enhancing Framework for Reference-Based Image Super-Resolution
[Website]
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
[Website]
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
[Website]
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
[Website]
Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
[Website]
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
[Website]
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model
[Website]
TDDSR: Single-Step Diffusion with Two Discriminators for Super Resolution
[Website]
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution
[Website]
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution
[Website]
Image Super-Resolution with Text Prompt Diffusio
[Website]
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
[Website]
DREAM: Diffusion Rectification and Estimation-Adaptive Models
[Website]
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
[Website]
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
[Website]
CasSR: Activating Image Power for Real-World Image Super-Resolution
[Website]
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
[Website]
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution
[Website]
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer
[Website]
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
[Website]
Adversarial Diffusion Compression for Real-World Image Super-Resolution
[Website]
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-Resolution
[Website]
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
[Website]
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-Resolution
[Website]
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution
[Website]
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution
[Website]
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
[Website]
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
[Website]
KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
[Website]
SupResDiffGAN a new approach for the Super-Resolution task
[Website]
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
[Website]
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution
[Website]
Creatively Upscaling Images with Global-Regional Priors
[Website]
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
[Website]
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space
[Website]
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
[Website]
One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation
[Website]
Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
[Website]
Efficient Burst Super-Resolution with One-step Diffusion
[Website]
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution
[Website]
RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration
[Website]
RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution
[Website]
TinySR: Pruning Diffusion for Real-World Image Super-Resolution
[Website]
Realism Control One-step Diffusion for Real-World Image Super-Resolution
[Website]
LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
[Website]
Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution
[Website]
HDW-SR: High-Frequency Guided Diffusion Model based on Wavelet Decomposition for Image Super-Resolution
[Website]
One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution
[Website]
Low-Resolution Editing is All You Need for High-Resolution Editing
[Website]
Zero-shot Adaptation of Stable Diffusion via Plug-in Hierarchical Degradation Representation for Real-World Super-Resolution
[Website]
Iterative Inference-time Scaling with Adaptive Frequency Steering for Image Super-Resolution
[Website]
F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model
[Website]
OSDEnhancer: Taming Real-World Space-Time Video Super-Resolution with One-Step Diffusion
[Website]
Tiled Prompts: Overcoming Prompt Underspecification in Image and Video Super-Resolution
[Website]
Bidirectional Reward-Guided Diffusion for Real-World Image Super-Resolution
[Website]
Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution
[Website]
Restoration by Generation with Constrained Priors
[CVPR 2024 Highlight]
[Project]
[Code]
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
[NeurIPS 2024]
[Project]
[Code]
InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention
[Website]
[Project]
[Code]
Personalized Restoration via Dual-Pivot Tuning
[Website]
[Project]
[Code]
FaceMe: Robust Blind Face Restoration with Personal Identification
[AAAI 2025]
[Code]
RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
[Website]
[Code]
PFStorer: Personalized Face Restoration and Super-Resolution
[CVPR 2024]
Reference-Guided Identity Preserving Face Restoration
[Website]
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
[ICLR 2025]
[Website]
[Project]
[Code]
CharaConsist: Fine-Grained Consistent Character Generation
[ICCV 2025]
[Project]
[Code]
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
[CVPR 2024]
[Project]
[Code]
Training-Free Consistent Text-to-Image Generation
[SIGGRAPH 2024]
[Project]
[Code]
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
[SIGGRAPH 2024]
[Project]
[Code]
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
[NeurIPS 2024]
[Project]
[Code]
OneActor: Consistent Character Generation via Cluster-Conditioned Guidance
[NeurIPS 2024]
[Project]
[Code]
StoryGPT-V: Large Language Models as Consistent Story Visualizers
[CVPR 2025]
[Project]
[Code]
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
[CVPR 2025]
[Project]
[Code]
TaleCrafter: Interactive Story Visualization with Multiple Characters
[SIGGRAPH Asia 2023]
[Project]
[Code]
ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions
[CVPR 2025]
[Project]
[Code]
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation
[Website]
[Project]
[Code]
Consistent Subject Generation via Contrastive Instantiated Concepts
[Website]
[Project]
[Code]
Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
[Website]
[Project]
[Code]
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
[Website]
[Project]
[Code]
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation
[Website]
[Project]
[Code]
Manga Generation via Layout-controllable Diffusion
[Website]
[Project]
[Code]
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
[Website]
[Project]
[Code]
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
[Website]
[Project]
[Code]
Why Settle for One? Text-to-ImageSet Generation and Evaluation
[Website]
[Project]
[Code]
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
[Website]
[Project]
[Code]
ASemConsist: Adaptive Semantic Feature Control for Training-Free Identity-Consistent Generation
[Website]
[Project]
[Code]
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
[ECCV 2024]
[Code]
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
[CVPR 2023]
[Code]
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
[AAAI 2025]
[Code]
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
[AAAI 2025]
[Code]
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
[Website]
[Code]
Consistent Story Generation with Asymmetry Zigzag Sampling
[Website]
[Code]
SEED-Story: Multimodal Long Story Generation with Large Language Model
[Website]
[Code]
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
[Website]
[Code]
Masked Generative Story Transformer with Character Guidance and Caption Augmentation
[Website]
[Code]
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
[Website]
[Code]
Subject-Consistent and Pose-Diverse Text-to-Image Generation
[Website]
[Code]
SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
[NeurIPS 2025]
[Project]
Multi-Shot Character Consistency for Text-to-Video Generation
[Website]
[Project]
ConsiStyle: Style Diversity in Training-Free Consistent T2I Generation
[Website]
[Project]
Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models
[Website]
[Project]
DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models
[Website]
[Project]
PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling
[Website]
[Project]
Infinite-Story: A Training-Free Consistent Text-to-Image Generation
[AAAI 2026 Oral]
Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation
[ICCV 2025]
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis
[ICASSP 2024]
CharCom: Composable Identity Control for Multi-Character Story Illustration
[ACM MMAsia 2025]
Bringing Characters to New Stories: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
[Website]
CogCartoon: Towards Practical Story Visualization
[Website]
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
[Website]
Improved Visual Story Generation with Adaptive Context Modeling
[Website]
Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control
[Website]
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
[Website]
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
[Website]
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
[Website]
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
[Website]
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
[Website]
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention
[Website]
Text2Story: Advancing Video Storytelling with Text Guidance
[Website]
Storybooth: Training-free Multi-Subject Consistency for Improved Visual Storytelling
[Website]
ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models
[Website]
Retrieval Augmented Comic Image Generation
[Website]
StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization
[Website]
Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
[Website]
TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering
[Website]
Consistent text-to-image generation via scene de-contextualization
[Website]
ReDiStory: Region-Disentangled Diffusion for Consistent Visual Story Generation
[Website]
DeCorStory: Gram-Schmidt Prompt Embedding Decorrelation for Consistent Storytelling
[Website]
StoryState: Agent-Based State Control for Consistent and Editable Storybooks
[Website]
AnimeAgent: Is the Multi-Agent via Image-to-Video models a Good Disney Storytelling Artist?
[Website]
TryOnDiffusion: A Tale of Two UNets
[CVPR 2023]
[Website]
[Project]
[Official Code]
[Unofficial Code]
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
[CVPR 2025]
[Project]
[Code]
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
[CVPR 2024]
[Project]
[Code]
Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-Off
[Website]
[Project]
[Code]
VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
[Website]
[Project]
[Code]
IMAGDressing-v1: Customizable Virtual Dressing
[Website]
[Project]
[Code]
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
[Website]
[Project]
[Code]
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
[Website]
[Project]
[Code]
ViViD: Video Virtual Try-on using Diffusion Models
[Website]
[Project]
[Code]
FashionComposer: Compositional Fashion Image Generation
[Website]
[Project]
[Code]
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
[Website]
[Project]
[Code]
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
[Website]
[Project]
[Code]
From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation
[Website]
[Project]
[Code]
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
[Website]
[Project]
[Code]
StableGarment: Garment-Centric Generation via Stable Diffusion
[Website]
[Project]
[Code]
Improving Diffusion Models for Virtual Try-on
[Website]
[Project]
[Code]
MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input
[Website]
[Project]
[Code]
Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
[Website]
[Project]
[Code]
JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-on
[Website]
[Project]
[Code]
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
[ECCV 2024]
[Code]
Improving Virtual Try-On with Garment-focused Diffusion Models
[ECCV 2024]
[Code]
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
[CVPR 2024]
[Code]
Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
[ICLR 2025]
[Code]
OmniVTON: Training-Free Universal Virtual Try-On
[ICCV 2025]
[Code]
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
[ACM MM 2023]
[Code]
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
[ACM MM 2023]
[Code]
CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation
[Website]
[Code]
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
[Website]
[Code]
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Model
[Website]
[Code]
Learning Flow Fields in Attention for Controllable Person Image Generation
[Website]
[Code]
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
[Website]
[Code]
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
[Website]
[Code]
Consistent Human Image and Video Generation with Spatially Conditioned Diffusion
[Website]
[Code]
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
[Website]
[Code]
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
[Website]
[Code]
Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images
[Website]
[Code]
FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
[Website]
[Code]
Clothing agnostic Pre-inpainting Virtual Try-ON
[Website]
[Code]
M&M VTO: Multi-Garment Virtual Try-On and Editing
[CVPR 2024 Highlight]
[Project]
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
[ECCV 2024]
[Project]
Fashion-VDM: Video Diffusion Model for Virtual Try-On
[SIGGRAPH Asia 2024]
[Project]
MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
[Website]
[Project]
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
[Website]
[Project]
Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild
[Website]
[Project]
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
[Website]
[Project]
3DV-TON: Textured 3D-Guided Consistent Video Try-on via Diffusion Models
[Website]
[Project]
Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All
[Website]
[Project]
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment
[Website]
[Project]
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
[Website]
[Project]
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
[Website]
[Project]
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
[Website]
[Project]
DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework
[Website]
[Project]
One Model For All: Partial Diffusion for Unified Try-On and Try-Off in Any Pose
[Website]
[Project]
Dress&Dance: Dress up and Dance as You Like It - Technical Preview
[Website]
[Project]
InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On
[Website]
[Project]
DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
[Website]
[Project]
Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction
[CVPR 2025]
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
[IJCAI 2024]
Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting
[Website]
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
[Website]
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on
[Website]
Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles
[Website]
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
[Website]
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
[Website]
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
[Website]
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
[Website]
AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion
[Website]
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing
[Website]
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
[Website]
Controllable Human Image Generation with Personalized Multi-Garments
[Website]
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
[Website]
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
[Website]
IGR: Improving Diffusion Model for Garment Restoration from Person Image
[Website]
DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On
[Website]
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder
[Website]
Fashionability-Enhancing Outfit Image Editing with Conditional Diffusion Models
[Website]
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
[Website]
EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
[Website]
Training-Free Consistency Pipeline for Fashion Repose
[Website]
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
[Website]
MFP-VTON: Enhancing Mask-Free Person-to-Person Virtual Try-On via Diffusion Transformer
[Website]
Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
[Website]
ChronoTailor: Harnessing Attention Guidance for Fine-Grained Video Virtual Try-On
[Website]
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter
[Website]
Two-Way Garment Transfer: Unified Diffusion Framework for Dressing and Undressing Synthesis
[Website]
MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
[Website]
LUIVITON: Learned Universal Interoperable VIrtual Try-ON
[Website]
ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On
[Website]
Rethinking Garment Conditioning in Diffusion-based Virtual Try-On
[Website]
The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection
[Website]
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
[ICLR 2024]
[Website]
[Project]
[Code]
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
[SIGGRAPH 2023]
[Project]
[Code]
Inpaint4Drag: Repurposing Inpainting Models for Drag-Based Image Editing via Bidirectional Warping
[ICCV 2025]
[Project]
[Code]
Readout Guidance: Learning Control from Diffusion Features
[CVPR 2024 Highlight]
[Project]
[Code]
FreeDrag: Feature Dragging for Reliable Point-based Image Editing
[CVPR 2024]
[Project]
[Code]
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
[CVPR 2024]
[Project]
[Code]
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion
[CVPR 2025]
[Project]
[Code]
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
[Website]
[Project]
[Code]
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
[Website]
[Project]
[Code]
Repositioning the Subject within Image
[Website]
[Project]
[Code]
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
[Website]
[Project]
[Code]
ObjCtrl-2.5D: Training-free Object Control with Camera Poses
[Website]
[Project]
[Code]
DragAnything: Motion Control for Anything using Entity Representation
[Website]
[Project]
[Code]
InstantDrag: Improving Interactivity in Drag-based Image Editing
[Website]
[Project]
[Code]
DirectDrag: High-Fidelity, Mask-Free, Prompt-Free Drag-based Image Editing via Readout-Guided Feature Alignment
[Website]
[Project]
[Code]
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
[CVPR 2024]
[Code]
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation
[CVPR 2024]
[Code]
DragVideo: Interactive Drag-style Video Editing
[ECCV 2024]
[Code]
RotationDrag: Point-based Image Editing with Rotated Diffusion Features
[Website]
[Code]
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model
[Website]
[Code]
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
[Website]
[Code]
Training-free Geometric Image Editing on Diffusion Models
[Website]
[Code]
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
[Website]
[Project]
DragText: Rethinking Text Embedding in Point-based Image Editing
[Website]
[Project]
OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation
[Website]
[Project]
FastDrag: Manipulate Anything in One Step
[Website]
[Project]
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
[Website]
[Project]
StableDrag: Stable Dragging for Point-based Image Editing
[Website]
[Project]
DiffUHaul: A Training-Free Method for Object Dragging in Images
[Website]
[Project]
Dragging with Geometry: From Pixels to Geometry-Guided Image Editing
[Website]
[Project]
Real-Time Motion-Controllable Autoregressive Video Diffusion
[Website]
[Project]
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
[Website]
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
[Website]
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing
[Website]
AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing
[Website]
A Diffusion-Based Framework for Occluded Object Movement
[Website]
DragNeXt: Rethinking Drag-Based Image Editing
[Website]
LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
[Website]
TDEdit: A Unified Diffusion Framework for Text-Drag Guided Image Manipulation
[Website]
DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing
[Website]
Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
[Website]
InstructUDrag: Joint Text Instructions and Object Dragging for Interactive Image Editing
[Website]
ContextDrag: Precise Drag-Based Image Editing via Context-Preserving Token Injection and Position-Consistent Attention
[Website]
RealDrag: The First Dragging Benchmark with Real Target Image
[Website]
Prompt-to-Prompt Image Editing with Cross Attention Control
[ICLR 2023]
[Website]
[Project]
[Code]
[Replicate Demo]
Zero-shot Image-to-Image Translation
[SIGGRAPH 2023]
[Project]
[Code]
[Replicate Demo]
[Diffusers Doc]
[Diffusers Code]
InstructPix2Pix: Learning to Follow Image Editing Instructions
[CVPR 2023 (Highlight)]
[Website]
[Project]
[Diffusers Doc]
[Diffusers Code]
[Official Code]
[Dataset]
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
[CVPR 2023]
[Website]
[Project]
[Code]
[Dataset]
[Replicate Demo]
[Demo]
DiffEdit: Diffusion-based semantic image editing with mask guidance
[ICLR 2023]
[Website]
[Unofficial Code]
[Diffusers Doc]
[Diffusers Code]
Imagic: Text-Based Real Image Editing with Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Diffusers]
Inpaint Anything: Segment Anything Meets Image Inpainting
[Website]
[Code 1]
[Code 2]
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
[ICCV 2023]
[Website]
[Project]
[Code]
[Demo]
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Code]
Collaborative Score Distillation for Consistent Visual Synthesis
[NeurIPS 2023]
[Website]
[Project]
[Code]
Visual Instruction Inversion: Image Editing via Visual Prompting
[NeurIPS 2023]
[Website]
[Project]
[Code]
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
[NeurIPS 2023]
[Website]
[Code]
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
[Website]
[Code1]
[Code2]
[Diffusers Code]
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
[Website]
[Project]
[Code]
[Demo]
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
[CVPR 2024]
[Project]
[Code]
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
[CVPR 2024]
[Project]
[Code]
Text-Driven Image Editing via Learnable Regions
[CVPR 2024]
[Project]
[Code]
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
[ICLR 2024]
[Project]
[Code]
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models
[SIGGRAPH Asia 2024]
[Project]
[Code]
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
[NeurIPS 2024]
[Project]
[Code]
Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
[ICCV 2025]
[Project]
[Code]
ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation
[ICCV 2025]
[Project]
[Code]
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
[Website]
[Project]
[Code]
FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing
[Website]
[Project]
[Code]
Zero-shot Image Editing with Reference Imitation
[Website]
[Project]
[Code]
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
[Website]
[Project]
[Code]
MultiBooth: Towards Generating All Your Concepts in an Image from Text
[Website]
[Project]
[Code]
Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting
[Website]
[Project]
[Code]
R-Genie: Reasoning-Guided Generative Image Editing
[Website]
[Project]
[Code]
EEdit : Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing
[Website]
[Project]
[Code]
StyleBooth: Image Style Editing with Multimodal Instruction
[Website]
[Project]
[Code]
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
[Website]
[Project]
[Code]
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
[Website]
[Project]
[Code]
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
[Website]
[Project]
[Code]
InsightEdit: Towards Better Instruction Following for Image Editing
[Website]
[Project]
[Code]
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
[Website]
[Project]
[Code]
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
[Website]
[Project]
[Code]
HIVE: Harnessing Human Feedback for Instructional Visual Editing
[Website]
[Project]
[Code]
FaceStudio: Put Your Face Everywhere in Seconds
[Website]
[Project]
[Code]
Edicho: Consistent Image Editing in the Wild
[Website]
[Project]
[Code]
IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout
[Website]
[Project]
[Code]
Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach
[Website]
[Project]
[Code]
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
[Website]
[Project]
[Code]
EditCLIP: Representation Learning for Image Editing
[Website]
[Project]
[Code]
SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
[Website]
[Project]
[Code]
FreeEdit: Mask-free Reference-based Image Editing with Multi-modal Instruction
[Website]
[Project]
[Code]
MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance
[Website]
[Project]
[Code]
Edit Transfer: Learning Image Editing via Vision In-Context Relations
[Website]
[Project]
[Code]
LIME: Localized Image Editing via Attention Regularization in Diffusion Models
[Website]
[Project]
[Code]
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
[Website]
[Project]
[Code]
MagicQuill: An Intelligent Interactive Image Editing System
[Website]
[Project]
[Code]
Scaling Concept With Text-Guided Diffusion Models
[Website]
[Project]
[Code]
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
[Website]
[Project]
[Code]
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
[Website]
[Project]
[Code]
FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning
[Website]
[Project]
[Code]
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
[Website]
[Project]
[Code]
Delta Denoising Score
[Website]
[Project]
[Code]
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
[Website]
[Project]
[Code]
KV-Edit: Training-Free Image Editing for Precise Background Preservation
[Website]
[Project]
[Code]
FreSca: Unveiling the Scaling Space in Diffusion Models
[Website]
[Project]
[Code]
Concept Lancet: Image Editing with Compositional Representation Transplant
[Website]
[Project]
[Code]
ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions
[Website]
[Project]
[Code]
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions
[Website]
[Project]
[Code]
Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing
[Website]
[Project]
[Code]
CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing
[Website]
[Project]
[Code]
Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
[Website]
[Project]
[Code]
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
[Website]
[Project]
[Code]
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
[Website]
[Project]
[Code]
Group Relative Attention Guidance for Image Editing
[Website]
[Project]
[Code]
EditThinker: Unlocking Iterative Reasoning for Any Image Editor
[Website]
[Project]
[Code]
EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
[Website]
[Project]
[Code]
SpotEdit: Selective Region Editing in Diffusion Transformers
[Website]
[Project]
[Code]
Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling
[Website]
[Project]
[Code]
ChordEdit: One-Step Low-Energy Transport for Image Editing
[Website]
[Project]
[Code]
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
[SIGGRAPH 2023]
[Code]
Learning to Follow Object-Centric Image Editing Instructions Faithfully
[EMNLP 2023]
[Code]
Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling
[ICCV 2025]
[Code]
Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
[CVPR 2025]
[Code]
GroupDiff: Diffusion-based Group Portrait Editing
[ECCV 2024]
[Code]
GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
[CVPR 2024]
[Code]
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
[CVPR 2024]
[Code]
ZONE: Zero-Shot Instruction-Guided Local Editing
[CVPR 2024]
[Code]
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
[CVPR 2024]
[Code]
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
[ECCV 2024]
[Code]
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
[ECCV 2024]
[Code]
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
[ECCV 2024]
[Code]
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
[AAAI 2024]
[Code]
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
[AAAI 2024]
[Code]
Face Aging via Diffusion-based Editing
[BMVC 2023]
[Code]
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing
[Website]
[Code]
Step1X-Edit: A Practical Framework for General Image Editing
[Website]
[Code]
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
[Website]
[Code]
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing
[Website]
[Code]
MoEdit: On Learning Quantity Perception for Multi-object Image Editing
[Website]
[Code]
REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models
[Website]
[Code]
FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image Editing
[Website]
[Code]
Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing
[Website]
[Code]
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
[Website]
[Code]
DiT4Edit: Diffusion Transformer for Image Editing
[Website]
[Code]
FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors
[Website]
[Code]
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
[Website]
[Code]
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
[Website]
[Code]
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
[Website]
[Code]
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
[Website]
[Code]
Differential Diffusion: Giving Each Pixel Its Strength
[Website]
[Code]
Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
[Website]
[Code]
MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing
[Website]
[Code]
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing
[Website]
[Code]
LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing
[Website]
[Code]
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
[Website]
[Code]
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
[Website]
[Code]
Forgedit: Text Guided Image Editing via Learning and Forgetting
[Website]
[Code]
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
[Website]
[Code]
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
[Website]
[Code]
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
[Website]
[Code]
Unified Diffusion-Based Rigid and Non-Rigid Editing with Text and Image Guidance
[Website]
[Code]
SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing
[Website]
[Code]
SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding
[Website]
[Code]
Image-Editing Specialists: An RLAIF Approach for Diffusion Models
[Website]
[Code]
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
[Website]
[Code]
PromptFix: You Prompt and We Fix the Photo
[Website]
[Code]
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation
[Website]
[Code]
Single Image Iterative Subject-driven Generation and Editing
[Website]
[Code]
Image Editing As Programs with Diffusion Models
[Website]
[Code]
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
[Website]
[Code]
Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models
[Website]
[Code]
Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
[Website]
[Code]
The Promise of RL for Autoregressive Image Editing
[Website]
[Code]
X2Edit: Revisiting Arbitrary-Instruction Image Editing through Self-Constructed Data and Task-Aware Representation Learning
[Website]
[Code]
Visual Autoregressive Modeling for Instruction-Guided Image Editing
[Website]
[Code]
SpotEdit: Evaluating Visually-Guided Image Editing Methods
[Website]
[Code]
Delta Velocity Rectified Flow for Text-to-Image Editing
[Website]
[Code]
Lego-Edit: A General Image Editing Framework with Model-Level Bricks and MLLM Builder
[Website]
[Code]
AgeBooth: Controllable Facial Aging and Rejuvenation via Diffusion Models
[Website]
[Code]
Region in Context: Text-condition Image editing with Human-like semantic reasoning
[Website]
[Code]
RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
[Website]
[Code]
Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing
[Website]
[Code]
LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning
[Website]
[
Truncated — view the full README on GitHub.
384 followers · starred Aug 2023
300 followers · starred Feb 2024
110 followers · starred Dec 2023
84 followers · starred Jan 2024
collection of diffusion model papers categorized by their subareas
2,224
779 commits
updated Mar 16, 2026
The Art of Deception: Color Visual Illusions and Diffusion Models
[CVPR 2025]
[Project]
[Code]
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
[CVPR 2024]
[Project]
[Code]
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
[CVPR 2025]
[Project]
[Code]
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
[ECCV 2024]
[Project]
[Code]
Diffusion Illusions: Hiding Images in Plain Sight
[Website]
[Project]
[Code]
Diffusion-based Visual Anagram as Multi-task Learning
[WACV 2025]
[Code]
Evaluating Model Perception of Color Illusions in Photorealistic Scenes
[Website]
[Code]
Illusion3D: 3D Multiview Illusion with 2D Diffusion Priors
[Website]
[Project]
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
[ECCV 2024]
[Project]
[Code]
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
[NeurIPS 2025]
[Project]
[Code]
Not Every Gift Comes in Gold Paper or with a Red Ribbon: Exploring Color Perception in Text-to-Image Models
[WACV 2026]
[Project]
[Code]
Color Conditional Generation with Sliced Wasserstein Guidance
[NeurIPS 2025]
[Code]
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
[WACV 2026]
[Project]
Evaluating Model Perception of Color Illusions in Photorealistic Scenes
[Website]
[Code]
Exploring Palette based Color Guidance in Diffusion Models
[ACM MM 2025]
Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation
[ACM MM 2025]
GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models
[Website]
Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
[Website]
DiffBrush:Just Painting the Art by Your Hands
[Website]
GenColor: Generative Color-Concept Association in Visual Design
[Website]
Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis
[Website]
Color encoding in Latent Space of Stable Diffusion Models
[Website]
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
[CVPR 2025]
[Project]
[Code]
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
CountCluster: Training-Free Object Quantity Guidance with Cross-Attention Map Clustering for Text-to-Image Generation
[Website]
[Code]
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
[ICCV 2025]
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
[Website]
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
[Website]
[Project]
[Code]
CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
[Website]
[Code]
PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
[CVPR 2025]
[Project]
POSTA: A Go-to Framework for Customized Artistic Poster Generation
[CVPR 2025]
[Project]
DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
[Website]
[Project]
LogoDiffuser: Training-Free Multilingual Logo Generation and Stylization via Letter-Aware Attention Control
[Website]
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
[ICLR 2024 Spotlight]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
SDXL-Turbo: Adversarial Diffusion Distillation
[Website]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
[Website]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
[Website]
[Diffusers]
[Project]
[Code]
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
[Website]
[Project]
[Code]
DMD2: Improved Distribution Matching Distillation for Fast Image Synthesis
[NeurIPS 2024 Oral]
[Project]
[Code]
DMD1: One-step Diffusion with Distribution Matching Distillation
[CVPR 2024]
[Project]
[Code]
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
[NeurIPS 2025]
[Project]
[Code]
Consistency Models
[ICML 2023]
[Diffusers]
[Code]
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
[CVPR 2024]
[Project]
[Code]
SwiftBrush V2: Make Your One-Step Diffusion Model Better Than Its Teacher
[ECCV 2024]
[Project]
[Code]
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
[CVPR 2024]
[Project]
[Code]
PCM : Phased Consistency Model
[NeurIPS 2024]
[Project]
[Code]
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
[NeurIPS 2024]
[Project]
[Code]
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
[NeurIPS 2024]
[Project]
[Code]
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
[CVPR 2025]
[Project]
[Code]
DIMO:Distilling Masked Diffusion Models into One-step Generator
[Website]
[Project]
[Code]
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
[Website]
[Project]
[Code]
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
[Website]
[Project]
[Code]
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
[Website]
[Project]
[Code]
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
[Website]
[Project]
[Code]
Scale-wise Distillation of Diffusion Models
[Website]
[Project]
[Code]
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
[Website]
[Project]
[Code]
Adaptive Caching for Faster Video Generation with Diffusion Transformers
[Website]
[Project]
[Code]
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
[Website]
[Project]
[Code]
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
[Website]
[Project]
[Code]
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
[Website]
[Project]
[Code]
Reward Guided Latent Consistency Distillation
[Website]
[Project]
[Code]
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
[Website]
[Project]
[Code]
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
[Website]
[Project]
[Code]
AccVideo: Accelerating Video Diffusion Model with Synthetic Dataset
[Website]
[Project]
[Code]
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
[Website]
[Project]
[Code]
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
[Website]
[Project]
[Code]
MagCache: Fast Video Generation with Magnitude-Aware Cache
[Website]
[Project]
[Code]
Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
[Website]
[Project]
[Code]
Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching
[Website]
[Project]
[Code]
Distilling Diversity and Control in Diffusion Models
[Website]
[Project]
[Code]
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
[Website]
[Project]
[Code]
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
[Website]
[Project]
[Code]
Glance: Accelerating Diffusion Models with 1 Sample
[Website]
[Project]
[Code]
No Cache Left Idle: Accelerating diffusion model via Extreme-slimming Caching
[Website]
[Project]
[[Code](https://github.com/THU-AccDiff/xslim/]
Relational Feature Caching for Accelerating Diffusion Transformers
[Website]
[Project]
[[Code](https://github.com/cvlab-yonsei]
One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models
[CVPR 2025]
[Code]
Relational Diffusion Distillation for Efficient Image Generation
[ACM MM 2024 (Oral)]
[Code]
Autoregressive Distillation of Diffusion Transformers
[CVPR 2025 Oral]
[Code]
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
[CVPR 2024]
[Code]
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
[CVPR 2025]
[Code]
ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs
[AAAI 2026]
[Code]
SADA: Stability-guided Adaptive Diffusion Acceleration
[ICML 2025]
[Code]
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
[ECCV 2024]
[Code]
Accelerating Image Generation with Sub-path Linear Approximation Model
[ECCV 2024]
[Code]
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
[NeurIPS 2023]
[Code]
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
[NeurIPS 2024]
[Code]
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
[CVPR 2026]
[Code]
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
[ICML 2024]
[Code]
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
[ICML 2024]
[Code]
On the Trajectory Regularity of ODE-based Diffusion Sampling
[ICML 2024]
[Code]
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
[ICLR 2024]
[Code]
Improved Training Technique for Latent Consistency Models
[ICLR 2025]
[Code]
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
[AAAI 2026]
[Code]
Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
[ACM MM 2025]
[Code]
CacheQuant: Comprehensively Accelerated Diffusion Models
[CVPR 2025]
[Code]
SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models
[CVPR 2026]
[Code]
Accelerating Vision Diffusion Transformers with Skip Branches
[Website]
[Code]
Accelerating Diffusion Transformers with Dual Feature Caching
[Website]
[Code]
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
[Website]
[Code]
Exposure Bias Reduction for Enhancing Diffusion Transformer Feature Caching
[Website]
[Code]
One Step Diffusion via Shortcut Models
[Website]
[Code]
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
[Website]
[Code]
DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance
[Website]
[Code]
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
[Website]
[Code]
Stable Consistency Tuning: Understanding and Improving Consistency Models
[Website]
[Code]
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models
[Website]
[Code]
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
[Website]
[Code]
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
[Website]
[Code]
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
[Website]
[Code]
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation
[Website]
[Code]
Diffusion Models Are Innate One-Step Generators
[Website]
[Code]
Optimal Stepsize for Diffusion Sampling
[Website]
[Code]
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
[Website]
[Code]
Few-Step Diffusion via Score identity Distillation
[Website]
[Code]
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
[Website]
[Code]
SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
[Website]
[Code]
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
[Website]
[Code]
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
[Website]
[Code]
SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching
[Website]
[Code]
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
[Website]
[Code]
DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space
[Website]
[Code]
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
[Website]
[Code]
Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
[Website]
[Code]
pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
[Website]
[Code]
Towards One-step Causal Video Generation via Adversarial Self-Distillation
[Website]
[Code]
RedVTP: Training-Free Acceleration of Diffusion Vision-Language Models Inference via Masked Token-Guided Visual Token Pruning
[Website]
[Code]
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
[Website]
[Code]
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
[Website]
[Code]
CorGi: Contribution-Guided Block-Wise Interval Caching for Training-Free Acceleration of Diffusion Transformers
[Website]
[Code]
ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation
[Website]
[Code]
Jano: Adaptive Diffusion Generation with Early-stage Convergence Awareness
[Website]
[Code]
SODA: Sensitivity-Oriented Dynamic Acceleration for Diffusion Transformer
[Website]
[Code]
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
[Website]
[Code]
Distilling Diffusion Models into Conditional GANs
[ECCV 2024]
[Project]
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
[NeurIPS 2025]
[Project]
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
[CVPR 2024]
[Project]
Plug-and-Play Diffusion Distillation
[CVPR 2024]
[Project]
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
[NeurIPS 2023]
[Project]
One-step Diffusion Models with f-Divergence Distribution Matching
[Website]
[Project]
MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Portrait Few-Step Synthesis
[Website]
[Project]
Diffusion Adversarial Post-Training for One-Step Video Generation
[Website]
[Project]
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance
[Website]
[Project]
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
[Website]
[Project]
Truncated Consistency Models
[Website]
[Project]
Multi-student Diffusion Distillation for Better One-step Generators
[Website]
[Project]
Effortless Efficiency: Low-Cost Pruning of Diffusion Models
[Website]
[Project]
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
[Website]
[Project]
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
[Website]
[Project]
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
[Website]
[Project]
Training-Free Motion Customization for Distilled Video Generators with Adaptive Test-Time Distillation
[Website]
[Project]
Forecasting When to Forecast: Accelerating Diffusion Models with Confidence-Gated Taylor
[Website]
[Project]
POSE: Phased One-Step Adversarial Equilibrium for Video Diffusion Models
[Website]
[Project]
Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation
[Website]
[Project]
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
[Website]
[Project]
Self-Evaluation Unlocks Any-Step Text-to-Image Generation
[Website]
[Project]
Transition Matching Distillation for Fast Video Generation
[Website]
[Project]
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
[Website]
[Project]
FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
[Website]
[Project]
Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis
[ICCV 2025 (Highlight)]
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
[ICCV 2025]
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
[NeurIPS 2024]
One-Step Diffusion Distillation through Score Implicit Matching
[NeurIPS 2024]
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
[AAAI 2025]
TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration
[CVPR 2026]
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers
[CVPR 2025]
PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
[CVPR 2025]
MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
[CVPR 2025]
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
[ICML 2025]
Accelerate High-Quality Diffusion Models with Inner Loop Feedback
[Website]
Accelerating Diffusion Transformer via Error-Optimized Cache
[Website]
DICE: Distilling Classifier-Free Guidance into Text Embeddings
[Website]
ProReflow: Progressive Reflow with Decomposed Velocity
[Website]
Inference-Time Diffusion Model Distillation
[Website]
Taming Consistency Distillation for Accelerated Human Image Animation
[Website]
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
[Website]
HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration
[Website]
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models
[Website]
MLCM: Multistep Consistency Distillation of Latent Diffusion Model
[Website]
EM Distillation for One-step Diffusion Models
[Website]
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
[Website]
Score-of-Mixture Training: Training One-Step Generative Models Made Simple
[Website]
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
[Website]
Importance-based Token Merging for Diffusion Models
[Website]
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation
[Website]
Accelerating Diffusion Models with One-to-Many Knowledge Distillation
[Website]
Accelerating Video Diffusion Models via Distribution Matching
[Website]
TDDSR: Single-Step Diffusion with Two Discriminators for Super Resolution
[Website]
DDIL: Improved Diffusion Distillation With Imitation Learning
[Website]
OSV: One Step is Enough for High-Quality Image to Video Generation
[Website]
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
[Website]
Token Caching for Diffusion Transformer Acceleration
[Website]
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
[Website]
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
[Website]
Flow Generator Matching
[Website]
Multistep Distillation of Diffusion Models via Moment Matching
[Website]
SFDDM: Single-fold Distillation for Diffusion models
[Website]
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
[Website]
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
[Website]
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
[Website]
Ditto: Accelerating Diffusion Model via Temporal Value Similarity
[Website]
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training
[Website]
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
[Website]
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
[Website]
Efficient Distillation of Classifier-Free Guidance using Adapters
[Website]
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
[Website]
Inductive Moment Matching
[Website]
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching
[Website]
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
[Website]
Mean Flows for One-step Generative Modeling
[Website]
Faster Video Diffusion with Trainable Sparse Attention
[Website]
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling
[Website]
SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation
[Website]
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
[Website]
RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy
[Website]
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
[Website]
Accelerating Diffusion Large Language Models with SlowFast: The Three Golden Principles
[Website]
Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation
[Website]
Upsample What Matters: Region-Adaptive Latent Sampling for Accelerated Diffusion Transformers
[Website]
Accelerating Parallel Diffusion Model Serving with Residual Compression
[Website]
SwiftVideo: A Unified Framework for Few-Step Video Generation through Trajectory-Distribution Alignment
[Website]
MixCache: Mixture-of-Cache for Video Diffusion Transformer Acceleration
[Website]
Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
[Website]
DiCache: Let Diffusion Model Determine Its Own Cache
[Website]
HiCache: Training-free Acceleration of Diffusion Models via Hermite Polynomial-based Feature Caching
[Website]
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
[Website]
BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
[Website]
RAPID^3: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
[Website]
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
[Website]
CLQ: Cross-Layer Guided Orthogonal-based Quantization for Diffusion Transformers
[Website]
Score Distillation of Flow Matching Models
[Website]
Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
[Website]
LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation
[Website]
FreqCa: Accelerating Diffusion Models via Frequency-Aware Caching
[Website]
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
[Website]
Test-Time Iterative Error Correction for Efficient Diffusion Models
[Website]
From Structure to Detail: Hierarchical Distillation for Efficient Diffusion Model
[Website]
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling
[Website]
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning
[Website]
GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
[Website]
InvarDiff: Cross-Scale Invariance Caching for Accelerated Diffusion Models
[Website]
USV: Unified Sparsification for Accelerating Video Diffusion Models
[Website]
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows
[Website]
Few-Step Distillation for Text-to-Image Generation: A Practical Guide
[Website]
On the Design of One-step Diffusion via Shortcutting Flow Paths
[Website]
OUSAC: Optimized Guidance Scheduling with Adaptive Caching for DiT Acceleration
[Website]
Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
[Website]
Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Efficient Diffusion Transformers
[Website]
DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching
[Website]
NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices
[Website]
DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
[Website]
LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration
[Website]
Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
[Website]
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
[Website]
TC-Padé: Trajectory-Consistent Padé Approximation for Diffusion Acceleration
[Website]
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
[NeurIPS 2024]
[Project]
[Code]
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
[NeurIPS 2024]
[Project]
[Code]
DeepCache: Accelerating Diffusion Models for Free
[CVPR 2024]
[Project]
[Code]
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers
[Website]
[Project]
[Code]
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
[NeurIPS 2024]
[Code]
DiTFastAttn: Attention Compression for Diffusion Transformer Models
[NeurIPS 2024]
[Code]
Structural Pruning for Diffusion Models
[NeurIPS 2023]
[Code]
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
[ICCV 2023]
[Code]
Agent Attention: On the Integration of Softmax and Linear Attention
[ECCV 2024]
[Code]
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
[CVPR 2025]
[Code]
Token Merging for Fast Stable Diffusion
[CVPRW 2024]
[Code]
LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation
[Website]
[Code]
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration
[Website]
[Code]
Real-Time Video Generation with Pyramid Attention Broadcast
[Website]
[Code]
Accelerating Diffusion Transformers with Token-wise Feature Caching
[Website]
[Code]
TGATE-V1: Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
[Website]
[Code]
TGATE-V2: Faster Diffusion via Temporal Attention Decomposition
[Website]
[Code]
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
[Website]
[Code]
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
[CVPR 2024]
[Project]
Training-free Diffusion Acceleration with Bottleneck Sampling
[Website]
[Project]
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
[Website]
[Project]
Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment
[ICCV 2025]
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
[WACV 2024]
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
[Website]
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future
[Website]
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
[Website]
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
[Website]
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences
[Website]
Fast constrained sampling in pre-trained diffusion models
[Website]
Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas
[Website]
ETC: training-free diffusion models acceleration with Error-aware Trend Consistency
[Website]
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
[ICLR 2025]
[Project]
[Code]
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
[ICLR 2025]
[Code]
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
[ICLR 2025]
[Code]
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation
[Website]
[Code]
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL
[Website]
[Code]
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
[Website]
SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation
[Website]
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
[Website]
Fast-ARDiff: An Entropy-informed Acceleration Framework for Continuous Space Autoregressive Generation
[Website]
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
[CVPR 2025]
[Project]
[Code]
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
[ICCV 2025]
[Project]
[Code]
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
[Website]
[Code]
SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping
[Website]
[Code]
Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis
[Website]
[Code]
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
[Website]
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
[ECCV 2024 Oral]
[Project]
[Code]
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[ICLR 2023 oral]
[Project]
[Code]
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
[CVPR 2024]
[Project]
[Code]
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
[CVPR 2024]
[Project]
[Code]
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
[CVPR 2024]
[Project]
[Code]
From Posterior Sampling to Meaningful Diversity in Image Restoration
[ICLR 2024]
[Project]
[Code]
Generative Diffusion Prior for Unified Image Restoration and Enhancement
[CVPR 2023]
[Project]
[Code]
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
[ECCV 2024]
[Project]
[Code]
Image Restoration with Mean-Reverting Stochastic Differential Equations
[ICML 2023]
[Project]
[Code]
PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
[NeurIPS 2024 Spotlight]
[Project]
[Code]
Denoising Diffusion Models for Plug-and-Play Image Restoration
[CVPR 2023 Workshop NTIRE]
[Project]
[Code]
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
[Website]
[Project]
[Code]
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
[Website]
[Project]
[Code]
SVFR: A Unified Framework for Generalized Video Face Restoration
[Website]
[Project]
[Code]
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
[Website]
[Project]
[Code]
Solving Video Inverse Problems Using Image Diffusion Models
[Website]
[Project]
[Code]
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
[Website]
[Project]
[Code]
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
[Website]
[Project]
[Code]
GenDR: Lightning Generative Detail Restorator
[Website]
[Project]
[Code]
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
[Website]
[Project]
[Code]
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
[Website]
[Project]
[Code]
Text-Aware Image Restoration with Diffusion Models
[Website]
[Project]
[Code]
LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
[Website]
[Project]
[Code]
Zero-Shot Video Deraining with Video Diffusion Models
[Website]
[Project]
[Code]
TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration
[Website]
[Project]
[Code]
FlowIE: Efficient Image Enhancement via Rectified Flow
[CVPR 2024 oral]
[Code]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
[NeurIPS 2023 (Spotlight)]
[Code]
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
[ICML 2023 oral]
[Code]
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
[NeurIPS 2024 Spotlight]
[Code]
DiffIR: Efficient Diffusion Model for Image Restoration\
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
[ICCV 2025]
[Code]
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
[CVPR 2024]
[Code]
InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
[ICLR 2025]
[Code]
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
[ECCV 2024]
[Code]
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
[ECCV 2024]
[Code]
DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problem
[ECCV 2024]
[Code]
Low-Light Image Enhancement with Wavelet-based Diffusion Models
[SIGGRAPH Asia 2023]
[Code]
Residual Denoising Diffusion Models
[CVPR 2024]
[Code]
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
[CVPR 2024]
[Code]
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
[CVPR 2025]
[Code]
Deep Equilibrium Diffusion Restoration with Parallel Sampling
[CVPR 2024]
[Code]
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing
[ECCV 2024]
[Code]
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
[NeurIPS 2024]
[Code]
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
[NeurIPS 2024]
[Code]
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
[NeurIPS 2024]
[Code]
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
[CVPR 2025]
[Code]
Learning to See in the Extremely Dark
[ICCV 2025]
[Code]
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
[AAAI 2025]
[Code]
Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
[AAAI 2026]
[Code]
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
[CVPR 2024]
[Code]
Enhancing Diffusion Model Stability for Image Restoration via Gradient Management
[ACM MM 2025]
[Code]
PerTouch: VLM-Driven Agent for Personalized and Semantic Image Retouching
[AAAI 2026]
[Code]
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
[CVPR 2023 Workshop NTIRE]
[Code]
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement
[CVPR 2024 Workshop NTIRE]
[Code]
JPEG Artifact Correction using Denoising Diffusion Restoration Models
[NeurIPS 2022 Workshop]
[Code]
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
[Website]
[Code]
InstructRestore: Region-Customized Image Restoration with Human Instructions
[Website]
[Code]
Decoupled Data Consistency with Diffusion Purification for Image Restoration
[Website]
[Code]
One-Step Diffusion Model for Image Motion-Deblurring
[Website]
[Code]
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression
[Website]
[Code]
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
[Website]
[Code]
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
[Website]
[Code]
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
[Website]
[Code]
DeblurDiff: Real-World Image Deblurring with Generative Diffusion Models
[Website]
[Code]
UniProcessor: A Text-induced Unified Low-level Image Processor
[Website]
[Code]
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
[Website]
[Code]
Varformer: Adapting VAR's Generative Prior for Image Restoration
[Website]
[Code]
Low-Light Image Enhancement via Generative Perceptual Priors
[Website]
[Code]
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
[Website]
[Code]
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement
[Website]
[Code]
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
[Website]
[Code]
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
[Website]
[Code]
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring
[Website]
[Code]
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
[Website]
[Code]
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
[Website]
[Code]
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior
[Website]
[Code]
Frequency Compensated Diffusion Model for Real-scene Dehazing
[Website]
[Code]
Efficient Image Deblurring Networks based on Diffusion Models
[Website]
[Code]
Blind Image Restoration via Fast Diffusion Inversion
[Website]
[Code]
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
[Website]
[Code]
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
[Website]
[Code]
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
[Website]
[Code]
Unlimited-Size Diffusion Restoration
[Website]
[Code]
UniDB++: Fast Sampling of Unified Diffusion Bridge
[Website]
[Code]
VmambaIR: Visual State Space Model for Image Restoration
[Website]
[Code]
InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
[Website]
[Code]
Using diffusion model as constraint: Empower Image Restoration Network Training with Diffusion Model
[Website]
[Code]
Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion Model
[Website]
[Code]
BD-Diff: Generative Diffusion Model for Image Deblurring on Unknown Domains with Blur-Decoupled Learning
[Website]
[Code]
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
[Website]
[Code]
Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
[Website]
[Code]
Residual Diffusion Bridge Model for Image Restoration
[Website]
[Code]
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
[Website]
[Code]
EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
[Website]
[Code]
Equivariant Sampling for Improving Diffusion Model-based Image Restoration
[Website]
[Code]
Fose: Fusion of One-Step Diffusion and End-to-End Network for Pansharpening
[Website]
[Code]
MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
[Website]
[Code]
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
[CVPR 2025]
[Project]
TIP: Text-Driven Image Processing with Semantic and Restoration Instructions
[ECCV 2024]
[Project]
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
[NeurIPS 2024]
[Project]
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration
[Website]
[Project]
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
[Website]
[Project]
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
[Website]
[Project]
SILO: Solving Inverse Problems with Latent Operators
[Website]
[Project]
Proxies for Distortion and Consistency with Applications for Real-World Image Restoration
[Website]
[Project]
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations
[Website]
[Project]
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision
[Website]
[Project]
From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing
[Website]
[Project]
FlowSteer: Conditioning Flow Field for Consistent Image Restoration
[Website]
[Project]
CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real Videos
[Website]
[Project]
BlurDM: A Blur Diffusion Model for Image Deblurring
[NeurIPS 2025]
DREAMCLEAN: RESTORING CLEAN IMAGE USING DEEP DIFFUSION PRIOR
[ICLR 2025]
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
[ICCV 2023]
Multiscale Structure Guided Diffusion for Image Deblurring
[ICCV 2023]
Boosting Image Restoration via Priors from Pre-trained Models
[CVPR 2024]
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration
[CVPR 2025]
Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
[CVPR 2025]
Reversing Flow for Image Restoration
[CVPR 2025]
Dual Prompting Image Restoration with Diffusion Transformers
[CVPR 2025]
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
[ICML 2025]
Exploiting Diffusion Prior for Task-driven Image Restoration
[ICCV 2025]
Seeing Beyond Haze: Generative Nighttime Image Dehazing
[Website]
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
[Website]
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
[Website]
A Modular Conditional Diffusion Framework for Image Reconstruction
[Website]
Solving Inverse Problems using Diffusion with Fast Iterative Renoising
[Website]
Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model
[Website]
Particle-Filtering-based Latent Diffusion for Inverse Problems
[Website]
Bayesian Conditioned Diffusion Models for Inverse Problem
[Website]
ReCo-Diff: Explore Retinex-Based Condition Strategy in Diffusion Model for Low-Light Image Enhancement
[Website]
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
[Website]
Tell Me What You See: Text-Guided Real-World Image Denoising
[Website]
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
[Website]
Prototype Clustered Diffusion Models for Versatile Inverse Problems
[Website]
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
[Website]
Taming Generative Diffusion for Universal Blind Image Restoration
[Website]
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL
[Website]
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration
[Website]
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior
[Website]
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
[Website]
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration
[Website]
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process
[Website]
Diffusion State-Guided Projected Gradient for Inverse Problems
[Website]
InstantIR: Blind Image Restoration with Instant Generative Reference
[Website]
Score-Based Variational Inference for Inverse Problems
[Website]
Towards Flexible and Efficient Diffusion Low Light Enhancer
[Website]
AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting
[Website]
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
[Website]
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
[Website]
STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors
[Website]
DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration
[Website]
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
[Website]
DIVD: Deblurring with Improved Video Diffusion Model
[Website]
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration
[Website]
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
[Website]
Are Conditional Latent Diffusion Models Effective for Image Restoration?
[Website]
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
[Website]
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration
[Website]
Diffusion Restoration Adapter for Real-World Image Restoration
[Website]
Noise Synthesis for Low-Light Image Denoising with Diffusion Models
[Website]
A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising
[Website]
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
[Website]
Diffusion Image Prior
[Website]
Invert2Restore: Zero-Shot Degradation-Blind Image Restoration
[Website]
Blind Inversion using Latent Diffusion Priors
[Website]
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image
[Website]
IDDM: Bridging Synthetic-to-Real Domain Gap from Physics-Guided Diffusion for Real-world Image Dehazing
[Website]
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor
[Website]
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration
[Website]
Dual Ascent Diffusion for Inverse Problems
[Website]
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
[Website]
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
[Website]
DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
[Website]
Latent Guidance in Diffusion Models for Perceptual Evaluations
[Website]
Solving Inverse Problems with FLAIR
[Website]
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
[Website]
Restereo: Diffusion stereo video generation and restoration
[Website]
UniRes: Universal Image Restoration for Complex Degradations
[Website]
Zero-Shot Solving of Imaging Inverse Problems via Noise-Refined Likelihood Guided Diffusion Models
[Website]
Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration
[Website]
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
[Website]
Harnessing Diffusion-Yielded Score Priors for Image Restoration
[Website]
UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration
[Website]
ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration
[Website]
Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration
[Website]
DiTVR: Zero-Shot Diffusion Transformer for Video Restoration
[Website]
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration
[Website]
OS-DiffVSR: Towards One-step Latent Diffusion Model for High-detailed Real-world Video Super-Resolution
[Website]
Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement
[Website]
Noise is All You Need: Solving Linear Inverse Problems by Noise Combination Sampling with Diffusion Models
[Website]
Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
[Website]
Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration
[Website]
InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior
[Website]
BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching
[Website]
UnfoldLDM: Deep Unfolding-based Blind Image Restoration with Latent Diffusion Priors
[Website]
CARD: Correlation Aware Restoration with Diffusion
[Website]
SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
[Website]
Measurement-Consistent Langevin Corrector: A Remedy for Latent Diffusion Inverse Solvers
[Website]
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
[Website]
Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models
[Website]
LCUDiff: Latent Capacity Upgrade Diffusion for Faithful Human Body Restoration
[Website]
LVCD: Reference-based Lineart Video Colorization with Diffusion Models
[SIGGRAPH Asia 2024]
[Project]
[Code]
Cobra: Efficient Line Art COlorization with BRoAder References
[SIGGRAPH 2025]
[Project]
[Code]
MagicColor: Multi-Instance Sketch Colorization
[Website]
[Project]
[Code]
ColorFlow: Retrieval-Augmented Image Sequence Colorization
[Website]
[Project]
[Code]
Control Color: Multimodal Diffusion-based Interactive Image Colorization
[Website]
[Project]
[Code]
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
[Website]
[Project]
[Code]
MangaNinja: Line Art Colorization with Precise Reference Following
[Website]
[Project]
[Code]
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
[Website]
[Project]
[Code]
VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
[Website]
[Project]
[Code]
SketchColour: Channel Concat Guided DiT-based Sketch-to-Colour Pipeline for 2D Animation
[Website]
[Project]
[Code]
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
[Website]
[Code]
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
[Website]
[Code]
Image Referenced Sketch Colorization Based on Animation Creation Workflow
[Website]
[Code]
ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
[Website]
[Code]
ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
[Website]
[Code]
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
[Website]
[Code]
Diffusing Colors: Image Colorization with Text Guided Diffusion
[SIGGRAPH Asia 2023]
[Project]
VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
[Website]
[Project]
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
[Website]
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
[Website]
Consistent Video Colorization via Palette Guidance
[Website]
L-C4: Language-Based Video Colorization for Creative and Consistent Color
[Website]
LatentColorization: Latent Diffusion-Based Speaker Video Colorization
[Website]
Controllable Image Colorization with Instance-aware Texts and Masks
[Website]
AnimeColor: Reference-based Animation Colorization with Diffusion Transformers
[Website]
MangaDiT: Reference-Guided Line Art Colorization with Hierarchical Attention in Diffusion Transformers
[Website]
Enhancing Reference-based Sketch Colorization via Separating Reference Representations
[Website]
Prompt-based Consistent Video Colorization
[Website]
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
[ICLR 2025]
[Website]
[Project]
[Code]
[Demo]
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
[Website]
[Project]
[Code]
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
[Website]
[Project]
[Code]
OSDFace: One-Step Diffusion Model for Face Restoration
[Website]
[Project]
[Code]
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
[CVPR 2023]
[Code]
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
[NeurIPS 2023]
[Code]
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models
[WACV 2023]
[Code]
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
[WACV 2025]
[Code]
HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
[Website]
[Code]
DifFace: Blind Face Restoration with Diffused Error Contraction
[Website]
[Code]
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
[Website]
[Code]
Towards Real-World Blind Face Restoration with Generative Diffusion Prior
[Website]
[Code]
QuantFace: Low-Bit Post-Training Quantization for One-Step Diffusion Face Restoration
[Website]
[Code]
Towards Unsupervised Blind Face Restoration using Diffusion Prior
[Website]
[Project]
DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance
[ICCV 2025]
InfoBFR: Real-World Blind Face Restoration via Information Bottleneck
[Website]
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
[Website]
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
[Website]
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration
[Website]
Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
[Website]
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
[Website]
DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration
[Website]
Face2Face: Label-driven Facial Retouching Restoration
[Website]
WaveFace: Authentic Face Restoration with Efficient Frequency Recovery
[Website]
DiffusionReward: Enhancing Blind Face Restoration through Reward Feedback Learning
[Website]
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter
[Website]
Unlocking the Potential of Diffusion Priors in Blind Face Restoration
[Website]
BIR-Adapter: A Low-Complexity Diffusion Model Adapter for Blind Image Restoration
[Website]
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
[ICML 2025]
[Project]
[Code]
DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
[CVPR 2026]
[Project]
[Code]
OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
[NeurIPS 2025]
[Code]
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
[IEE TCSVT 2024]
[Code]
Taming Large Multimodal Agents for Ultra-low Bitrate Semantically Disentangled Image Compression
[CVPR 2025]
[Code]
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
[CVPR 2025]
[Code]
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
[ICCV 2025]
[Code]
PerCoV2: Improved Ultra-Low Bit-Rate Perceptual Image Compression with Implicit Hierarchical Masked Image Modeling
[Website]
[Code]
Diffusion-based Extreme Image Compression with Compressed Feature Initialization
[Website]
[Code]
Lossy Compression with Pretrained Diffusion Models
[Website]
[Code]
DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates
[Website]
[Code]
Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression
[Website]
[Code]
Compressed Image Generation with Denoising Diffusion Codebook Models
[Website]
[Project]
Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression
[Website]
[Project]
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
[ICLR 2025]
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
[AAAI 2025]
Invertible Diffusion Models for Compressed Sensing
[TPAMI 2025]
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse
[Website]
Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression
[Website]
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning
[Website]
Towards Facial Image Compression with Consistency Preserving Diffusion Prior
[Website]
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
[Website]
One-Step Diffusion-Based Image Compression with Semantic Distillation
[Website]
Fast Training-free Perceptual Image Compression
[Website]
Conditional Video Generation for High-Efficiency Video Compression
[Website]
CoD: A Diffusion Foundation Model for Image Compression
[Website]
Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
[Website]
Generative Neural Video Compression via Video Diffusion Prior
[Website]
SLIM: Semantic-based Low-bitrate Image compression for Machines by leveraging diffusion
[Website]
Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement
[Website]
DiffVC-RT: Towards Practical Real-Time Diffusion-based Perceptual Neural Video Compression
[Website]
CADC: Content Adaptive Diffusion-Based Generative Image Compression
[Website]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
[NeurIPS 2023 spotlight]
[Website]
[Project]
[Code]
Image Super-Resolution via Iterative Refinement
[TPAMI]
[Website]
[Project]
[Code]
DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution
[ECCV 2024]
[Project]
[Code]
Kalman-Inspired Feature Propagation for Video Face Super-Resolution
[ECCV 2024]
[Project]
[Code]
LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only four RTX4090S
[Website]
[Project]
[Code]
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
[Website]
[Project]
[Code]
Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution
[Website]
[Project]
[Code]
MatchDiffusion: Training-free Generation of Match-cuts
[Website]
[Project]
[Code]
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
[Website]
[Project]
[Code]
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
[Website]
[Project]
[Code]
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
[Website]
[Project]
[Code]
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
[Website]
[Project]
[Code]
Exploiting Diffusion Prior for Real-World Image Super-Resolution
[Website]
[Project]
[Code]
FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution
[Website]
[Project]
[Code]
Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion
[Website]
[Project]
[Code]
Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
[ICLR 2026]
[Code]
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
[CVPR 2024]
[Code]
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
[CVPR 2024]
[Code]
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
[NeurIPS 2024]
[Code]
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
[NeurIPS 2024]
[Code]
Iterative Token Evaluation and Refinement for Real-World Super-Resolution
[AAAI 2024]
[Code]
MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution
[Website]
[Code]
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
[Website]
[Code]
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
[Website]
[Code]
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
[Website]
[Code]
Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution
[Website]
[Code]
Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors
[Website]
[Code]
One Step Diffusion-based Super-Resolution with Time-Aware Distillation
[Website]
[Code]
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
[Website]
[Code]
Visual Autoregressive Modeling for Image Super-Resolution
[Website]
[Code]
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
[Website]
[Code]
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors
[Website]
[Code]
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
[Website]
[Code]
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
[Website]
[Code]
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
[Website]
[Code]
Binarized Diffusion Model for Image Super-Resolution
[Website]
[Code]
Does Diffusion Beat GAN in Image Super Resolution?
[Website]
[Code]
PatchScaler: An Efficient Patch-independent Diffusion Model for Super-Resolution
[Website]
[Code]
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
[Website]
[Code]
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
[Website]
[Code]
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
[Website]
[Code]
Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
[Website]
[Code]
Arbitrary-steps Image Super-resolution via Diffusion Inversion
[Website]
[Code]
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
[Website]
[Code]
DSR-Diff: Depth Map Super-Resolution with Diffusion Model
[Website]
[Code]
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
[Website]
[Code]
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
[Website]
[Code]
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
[Website]
[Code]
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
[Website]
[Code]
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
[Website]
[Code]
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
[Website]
[Code]
QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-Resolution
[Website]
[Code]
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
[Website]
[Code]
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
[Website]
[Code]
Consistency Trajectory Matching for One-Step Generative Super-Resolution
[Website]
[Code]
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
[Website]
[Code]
Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models
[Website]
[Code]
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
[Website]
[Code]
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
[Website]
[Code]
QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
[Website]
[Code]
OMGSR: You Only Need One Mid-timestep Guidance for Real-World Image Super-Resolution
[Website]
[Code]
Ultra-High-Definition Reference-Based Landmark Image Super-Resolution with Generative Diffusion Prior
[Website]
[Code]
InfVSR: Breaking Length Limits of Generic Video Super-Resolution
[Website]
[Code]
SCEESR: Semantic-Control Edge Enhancement for Diffusion-Based Super-Resolution
[Website]
[Code]
PGP-DiffSR: Phase-Guided Progressive Pruning for Efficient Diffusion-based Image Super-Resolution
[Website]
[Code]
OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution
[Website]
[Code]
Bridging Fidelity-Reality with Controllable One-Step Diffusion for Image Super-Resolution
[Website]
[Code]
FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution
[Website]
[Code]
Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
[Website]
[Code]
Disentangled Textual Priors for Diffusion-based Image Super-Resolution
[Website]
[Code]
The Power of Context: How Multimodality Improves Image Super-Resolution
[Website]
[Project]
SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution
[Website]
[Project]
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution
[Website]
[Project]
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency
[Website]
[Project]
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution
[Website]
[Project]
Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
[Website]
[Project]
UniMMVSR: A Unified Multi-Modal Framework for Cascaded Video Super-Resolution
[Website]
[Project]
SkipSR: Faster Super Resolution with Token Skipping
[Website]
[Project]
STCDiT: Spatio-Temporally Consistent Diffusion Transformer for High-Quality Video Super-Resolution
[Website]
[Project]
FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution
[Website]
[Project]
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models
[ICCV 2023]
[Website]
TurboVSR: Fantastic Video Upscalers and Where to Find Them
[ICCV 2025]
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
[NeurIPS 2025]
PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution
[CVPR 2025]
Text-guided Explorable Image Super-resolution
[CVPR 2024]
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder
[CVPR 2024]
AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution
[CVPR 2024]
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
[AAAI 2024]
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
[AAAI 2025]
DP2O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolutio
[NeurIPS 2025]
Detail-Enhancing Framework for Reference-Based Image Super-Resolution
[Website]
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
[Website]
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
[Website]
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
[Website]
Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
[Website]
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
[Website]
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model
[Website]
TDDSR: Single-Step Diffusion with Two Discriminators for Super Resolution
[Website]
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution
[Website]
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution
[Website]
Image Super-Resolution with Text Prompt Diffusio
[Website]
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
[Website]
DREAM: Diffusion Rectification and Estimation-Adaptive Models
[Website]
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
[Website]
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
[Website]
CasSR: Activating Image Power for Real-World Image Super-Resolution
[Website]
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
[Website]
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution
[Website]
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer
[Website]
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
[Website]
Adversarial Diffusion Compression for Real-World Image Super-Resolution
[Website]
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-Resolution
[Website]
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
[Website]
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-Resolution
[Website]
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution
[Website]
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution
[Website]
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
[Website]
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
[Website]
KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
[Website]
SupResDiffGAN a new approach for the Super-Resolution task
[Website]
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
[Website]
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution
[Website]
Creatively Upscaling Images with Global-Regional Priors
[Website]
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
[Website]
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space
[Website]
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
[Website]
One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation
[Website]
Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
[Website]
Efficient Burst Super-Resolution with One-step Diffusion
[Website]
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution
[Website]
RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration
[Website]
RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution
[Website]
TinySR: Pruning Diffusion for Real-World Image Super-Resolution
[Website]
Realism Control One-step Diffusion for Real-World Image Super-Resolution
[Website]
LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
[Website]
Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution
[Website]
HDW-SR: High-Frequency Guided Diffusion Model based on Wavelet Decomposition for Image Super-Resolution
[Website]
One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution
[Website]
Low-Resolution Editing is All You Need for High-Resolution Editing
[Website]
Zero-shot Adaptation of Stable Diffusion via Plug-in Hierarchical Degradation Representation for Real-World Super-Resolution
[Website]
Iterative Inference-time Scaling with Adaptive Frequency Steering for Image Super-Resolution
[Website]
F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model
[Website]
OSDEnhancer: Taming Real-World Space-Time Video Super-Resolution with One-Step Diffusion
[Website]
Tiled Prompts: Overcoming Prompt Underspecification in Image and Video Super-Resolution
[Website]
Bidirectional Reward-Guided Diffusion for Real-World Image Super-Resolution
[Website]
Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution
[Website]
Restoration by Generation with Constrained Priors
[CVPR 2024 Highlight]
[Project]
[Code]
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
[NeurIPS 2024]
[Project]
[Code]
InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention
[Website]
[Project]
[Code]
Personalized Restoration via Dual-Pivot Tuning
[Website]
[Project]
[Code]
FaceMe: Robust Blind Face Restoration with Personal Identification
[AAAI 2025]
[Code]
RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
[Website]
[Code]
PFStorer: Personalized Face Restoration and Super-Resolution
[CVPR 2024]
Reference-Guided Identity Preserving Face Restoration
[Website]
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
[ICLR 2025]
[Website]
[Project]
[Code]
CharaConsist: Fine-Grained Consistent Character Generation
[ICCV 2025]
[Project]
[Code]
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
[CVPR 2024]
[Project]
[Code]
Training-Free Consistent Text-to-Image Generation
[SIGGRAPH 2024]
[Project]
[Code]
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
[SIGGRAPH 2024]
[Project]
[Code]
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
[NeurIPS 2024]
[Project]
[Code]
OneActor: Consistent Character Generation via Cluster-Conditioned Guidance
[NeurIPS 2024]
[Project]
[Code]
StoryGPT-V: Large Language Models as Consistent Story Visualizers
[CVPR 2025]
[Project]
[Code]
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
[CVPR 2025]
[Project]
[Code]
TaleCrafter: Interactive Story Visualization with Multiple Characters
[SIGGRAPH Asia 2023]
[Project]
[Code]
ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions
[CVPR 2025]
[Project]
[Code]
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation
[Website]
[Project]
[Code]
Consistent Subject Generation via Contrastive Instantiated Concepts
[Website]
[Project]
[Code]
Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
[Website]
[Project]
[Code]
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
[Website]
[Project]
[Code]
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation
[Website]
[Project]
[Code]
Manga Generation via Layout-controllable Diffusion
[Website]
[Project]
[Code]
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
[Website]
[Project]
[Code]
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
[Website]
[Project]
[Code]
Why Settle for One? Text-to-ImageSet Generation and Evaluation
[Website]
[Project]
[Code]
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
[Website]
[Project]
[Code]
ASemConsist: Adaptive Semantic Feature Control for Training-Free Identity-Consistent Generation
[Website]
[Project]
[Code]
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
[ECCV 2024]
[Code]
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
[CVPR 2023]
[Code]
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
[AAAI 2025]
[Code]
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
[AAAI 2025]
[Code]
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
[Website]
[Code]
Consistent Story Generation with Asymmetry Zigzag Sampling
[Website]
[Code]
SEED-Story: Multimodal Long Story Generation with Large Language Model
[Website]
[Code]
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
[Website]
[Code]
Masked Generative Story Transformer with Character Guidance and Caption Augmentation
[Website]
[Code]
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
[Website]
[Code]
Subject-Consistent and Pose-Diverse Text-to-Image Generation
[Website]
[Code]
SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
[NeurIPS 2025]
[Project]
Multi-Shot Character Consistency for Text-to-Video Generation
[Website]
[Project]
ConsiStyle: Style Diversity in Training-Free Consistent T2I Generation
[Website]
[Project]
Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models
[Website]
[Project]
DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models
[Website]
[Project]
PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling
[Website]
[Project]
Infinite-Story: A Training-Free Consistent Text-to-Image Generation
[AAAI 2026 Oral]
Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation
[ICCV 2025]
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis
[ICASSP 2024]
CharCom: Composable Identity Control for Multi-Character Story Illustration
[ACM MMAsia 2025]
Bringing Characters to New Stories: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
[Website]
CogCartoon: Towards Practical Story Visualization
[Website]
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
[Website]
Improved Visual Story Generation with Adaptive Context Modeling
[Website]
Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control
[Website]
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
[Website]
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
[Website]
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
[Website]
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
[Website]
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
[Website]
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention
[Website]
Text2Story: Advancing Video Storytelling with Text Guidance
[Website]
Storybooth: Training-free Multi-Subject Consistency for Improved Visual Storytelling
[Website]
ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models
[Website]
Retrieval Augmented Comic Image Generation
[Website]
StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization
[Website]
Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
[Website]
TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering
[Website]
Consistent text-to-image generation via scene de-contextualization
[Website]
ReDiStory: Region-Disentangled Diffusion for Consistent Visual Story Generation
[Website]
DeCorStory: Gram-Schmidt Prompt Embedding Decorrelation for Consistent Storytelling
[Website]
StoryState: Agent-Based State Control for Consistent and Editable Storybooks
[Website]
AnimeAgent: Is the Multi-Agent via Image-to-Video models a Good Disney Storytelling Artist?
[Website]
TryOnDiffusion: A Tale of Two UNets
[CVPR 2023]
[Website]
[Project]
[Official Code]
[Unofficial Code]
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
[CVPR 2025]
[Project]
[Code]
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
[CVPR 2024]
[Project]
[Code]
Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-Off
[Website]
[Project]
[Code]
VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
[Website]
[Project]
[Code]
IMAGDressing-v1: Customizable Virtual Dressing
[Website]
[Project]
[Code]
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
[Website]
[Project]
[Code]
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
[Website]
[Project]
[Code]
ViViD: Video Virtual Try-on using Diffusion Models
[Website]
[Project]
[Code]
FashionComposer: Compositional Fashion Image Generation
[Website]
[Project]
[Code]
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
[Website]
[Project]
[Code]
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
[Website]
[Project]
[Code]
From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation
[Website]
[Project]
[Code]
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
[Website]
[Project]
[Code]
StableGarment: Garment-Centric Generation via Stable Diffusion
[Website]
[Project]
[Code]
Improving Diffusion Models for Virtual Try-on
[Website]
[Project]
[Code]
MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input
[Website]
[Project]
[Code]
Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
[Website]
[Project]
[Code]
JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-on
[Website]
[Project]
[Code]
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
[ECCV 2024]
[Code]
Improving Virtual Try-On with Garment-focused Diffusion Models
[ECCV 2024]
[Code]
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
[CVPR 2024]
[Code]
Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
[ICLR 2025]
[Code]
OmniVTON: Training-Free Universal Virtual Try-On
[ICCV 2025]
[Code]
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
[ACM MM 2023]
[Code]
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
[ACM MM 2023]
[Code]
CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation
[Website]
[Code]
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
[Website]
[Code]
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Model
[Website]
[Code]
Learning Flow Fields in Attention for Controllable Person Image Generation
[Website]
[Code]
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
[Website]
[Code]
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
[Website]
[Code]
Consistent Human Image and Video Generation with Spatially Conditioned Diffusion
[Website]
[Code]
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
[Website]
[Code]
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
[Website]
[Code]
Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images
[Website]
[Code]
FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
[Website]
[Code]
Clothing agnostic Pre-inpainting Virtual Try-ON
[Website]
[Code]
M&M VTO: Multi-Garment Virtual Try-On and Editing
[CVPR 2024 Highlight]
[Project]
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
[ECCV 2024]
[Project]
Fashion-VDM: Video Diffusion Model for Virtual Try-On
[SIGGRAPH Asia 2024]
[Project]
MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
[Website]
[Project]
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
[Website]
[Project]
Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild
[Website]
[Project]
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
[Website]
[Project]
3DV-TON: Textured 3D-Guided Consistent Video Try-on via Diffusion Models
[Website]
[Project]
Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All
[Website]
[Project]
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment
[Website]
[Project]
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
[Website]
[Project]
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
[Website]
[Project]
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
[Website]
[Project]
DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework
[Website]
[Project]
One Model For All: Partial Diffusion for Unified Try-On and Try-Off in Any Pose
[Website]
[Project]
Dress&Dance: Dress up and Dance as You Like It - Technical Preview
[Website]
[Project]
InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On
[Website]
[Project]
DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
[Website]
[Project]
Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction
[CVPR 2025]
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
[IJCAI 2024]
Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting
[Website]
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
[Website]
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on
[Website]
Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles
[Website]
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
[Website]
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
[Website]
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
[Website]
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
[Website]
AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion
[Website]
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing
[Website]
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
[Website]
Controllable Human Image Generation with Personalized Multi-Garments
[Website]
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
[Website]
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
[Website]
IGR: Improving Diffusion Model for Garment Restoration from Person Image
[Website]
DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On
[Website]
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder
[Website]
Fashionability-Enhancing Outfit Image Editing with Conditional Diffusion Models
[Website]
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
[Website]
EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
[Website]
Training-Free Consistency Pipeline for Fashion Repose
[Website]
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
[Website]
MFP-VTON: Enhancing Mask-Free Person-to-Person Virtual Try-On via Diffusion Transformer
[Website]
Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
[Website]
ChronoTailor: Harnessing Attention Guidance for Fine-Grained Video Virtual Try-On
[Website]
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter
[Website]
Two-Way Garment Transfer: Unified Diffusion Framework for Dressing and Undressing Synthesis
[Website]
MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
[Website]
LUIVITON: Learned Universal Interoperable VIrtual Try-ON
[Website]
ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On
[Website]
Rethinking Garment Conditioning in Diffusion-based Virtual Try-On
[Website]
The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection
[Website]
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
[ICLR 2024]
[Website]
[Project]
[Code]
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
[SIGGRAPH 2023]
[Project]
[Code]
Inpaint4Drag: Repurposing Inpainting Models for Drag-Based Image Editing via Bidirectional Warping
[ICCV 2025]
[Project]
[Code]
Readout Guidance: Learning Control from Diffusion Features
[CVPR 2024 Highlight]
[Project]
[Code]
FreeDrag: Feature Dragging for Reliable Point-based Image Editing
[CVPR 2024]
[Project]
[Code]
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
[CVPR 2024]
[Project]
[Code]
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion
[CVPR 2025]
[Project]
[Code]
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
[Website]
[Project]
[Code]
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
[Website]
[Project]
[Code]
Repositioning the Subject within Image
[Website]
[Project]
[Code]
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
[Website]
[Project]
[Code]
ObjCtrl-2.5D: Training-free Object Control with Camera Poses
[Website]
[Project]
[Code]
DragAnything: Motion Control for Anything using Entity Representation
[Website]
[Project]
[Code]
InstantDrag: Improving Interactivity in Drag-based Image Editing
[Website]
[Project]
[Code]
DirectDrag: High-Fidelity, Mask-Free, Prompt-Free Drag-based Image Editing via Readout-Guided Feature Alignment
[Website]
[Project]
[Code]
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
[CVPR 2024]
[Code]
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation
[CVPR 2024]
[Code]
DragVideo: Interactive Drag-style Video Editing
[ECCV 2024]
[Code]
RotationDrag: Point-based Image Editing with Rotated Diffusion Features
[Website]
[Code]
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model
[Website]
[Code]
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
[Website]
[Code]
Training-free Geometric Image Editing on Diffusion Models
[Website]
[Code]
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
[Website]
[Project]
DragText: Rethinking Text Embedding in Point-based Image Editing
[Website]
[Project]
OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation
[Website]
[Project]
FastDrag: Manipulate Anything in One Step
[Website]
[Project]
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
[Website]
[Project]
StableDrag: Stable Dragging for Point-based Image Editing
[Website]
[Project]
DiffUHaul: A Training-Free Method for Object Dragging in Images
[Website]
[Project]
Dragging with Geometry: From Pixels to Geometry-Guided Image Editing
[Website]
[Project]
Real-Time Motion-Controllable Autoregressive Video Diffusion
[Website]
[Project]
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
[Website]
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
[Website]
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing
[Website]
AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing
[Website]
A Diffusion-Based Framework for Occluded Object Movement
[Website]
DragNeXt: Rethinking Drag-Based Image Editing
[Website]
LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
[Website]
TDEdit: A Unified Diffusion Framework for Text-Drag Guided Image Manipulation
[Website]
DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing
[Website]
Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
[Website]
InstructUDrag: Joint Text Instructions and Object Dragging for Interactive Image Editing
[Website]
ContextDrag: Precise Drag-Based Image Editing via Context-Preserving Token Injection and Position-Consistent Attention
[Website]
RealDrag: The First Dragging Benchmark with Real Target Image
[Website]
Prompt-to-Prompt Image Editing with Cross Attention Control
[ICLR 2023]
[Website]
[Project]
[Code]
[Replicate Demo]
Zero-shot Image-to-Image Translation
[SIGGRAPH 2023]
[Project]
[Code]
[Replicate Demo]
[Diffusers Doc]
[Diffusers Code]
InstructPix2Pix: Learning to Follow Image Editing Instructions
[CVPR 2023 (Highlight)]
[Website]
[Project]
[Diffusers Doc]
[Diffusers Code]
[Official Code]
[Dataset]
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
[CVPR 2023]
[Website]
[Project]
[Code]
[Dataset]
[Replicate Demo]
[Demo]
DiffEdit: Diffusion-based semantic image editing with mask guidance
[ICLR 2023]
[Website]
[Unofficial Code]
[Diffusers Doc]
[Diffusers Code]
Imagic: Text-Based Real Image Editing with Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Diffusers]
Inpaint Anything: Segment Anything Meets Image Inpainting
[Website]
[Code 1]
[Code 2]
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
[ICCV 2023]
[Website]
[Project]
[Code]
[Demo]
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Code]
Collaborative Score Distillation for Consistent Visual Synthesis
[NeurIPS 2023]
[Website]
[Project]
[Code]
Visual Instruction Inversion: Image Editing via Visual Prompting
[NeurIPS 2023]
[Website]
[Project]
[Code]
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
[NeurIPS 2023]
[Website]
[Code]
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
[Website]
[Code1]
[Code2]
[Diffusers Code]
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
[Website]
[Project]
[Code]
[Demo]
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
[CVPR 2024]
[Project]
[Code]
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
[CVPR 2024]
[Project]
[Code]
Text-Driven Image Editing via Learnable Regions
[CVPR 2024]
[Project]
[Code]
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
[ICLR 2024]
[Project]
[Code]
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models
[SIGGRAPH Asia 2024]
[Project]
[Code]
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
[NeurIPS 2024]
[Project]
[Code]
Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
[ICCV 2025]
[Project]
[Code]
ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation
[ICCV 2025]
[Project]
[Code]
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
[Website]
[Project]
[Code]
FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing
[Website]
[Project]
[Code]
Zero-shot Image Editing with Reference Imitation
[Website]
[Project]
[Code]
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
[Website]
[Project]
[Code]
MultiBooth: Towards Generating All Your Concepts in an Image from Text
[Website]
[Project]
[Code]
Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting
[Website]
[Project]
[Code]
R-Genie: Reasoning-Guided Generative Image Editing
[Website]
[Project]
[Code]
EEdit : Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing
[Website]
[Project]
[Code]
StyleBooth: Image Style Editing with Multimodal Instruction
[Website]
[Project]
[Code]
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
[Website]
[Project]
[Code]
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
[Website]
[Project]
[Code]
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
[Website]
[Project]
[Code]
InsightEdit: Towards Better Instruction Following for Image Editing
[Website]
[Project]
[Code]
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
[Website]
[Project]
[Code]
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
[Website]
[Project]
[Code]
HIVE: Harnessing Human Feedback for Instructional Visual Editing
[Website]
[Project]
[Code]
FaceStudio: Put Your Face Everywhere in Seconds
[Website]
[Project]
[Code]
Edicho: Consistent Image Editing in the Wild
[Website]
[Project]
[Code]
IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout
[Website]
[Project]
[Code]
Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach
[Website]
[Project]
[Code]
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
[Website]
[Project]
[Code]
EditCLIP: Representation Learning for Image Editing
[Website]
[Project]
[Code]
SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
[Website]
[Project]
[Code]
FreeEdit: Mask-free Reference-based Image Editing with Multi-modal Instruction
[Website]
[Project]
[Code]
MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance
[Website]
[Project]
[Code]
Edit Transfer: Learning Image Editing via Vision In-Context Relations
[Website]
[Project]
[Code]
LIME: Localized Image Editing via Attention Regularization in Diffusion Models
[Website]
[Project]
[Code]
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
[Website]
[Project]
[Code]
MagicQuill: An Intelligent Interactive Image Editing System
[Website]
[Project]
[Code]
Scaling Concept With Text-Guided Diffusion Models
[Website]
[Project]
[Code]
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
[Website]
[Project]
[Code]
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
[Website]
[Project]
[Code]
FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning
[Website]
[Project]
[Code]
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
[Website]
[Project]
[Code]
Delta Denoising Score
[Website]
[Project]
[Code]
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
[Website]
[Project]
[Code]
KV-Edit: Training-Free Image Editing for Precise Background Preservation
[Website]
[Project]
[Code]
FreSca: Unveiling the Scaling Space in Diffusion Models
[Website]
[Project]
[Code]
Concept Lancet: Image Editing with Compositional Representation Transplant
[Website]
[Project]
[Code]
ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions
[Website]
[Project]
[Code]
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions
[Website]
[Project]
[Code]
Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing
[Website]
[Project]
[Code]
CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing
[Website]
[Project]
[Code]
Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
[Website]
[Project]
[Code]
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
[Website]
[Project]
[Code]
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
[Website]
[Project]
[Code]
Group Relative Attention Guidance for Image Editing
[Website]
[Project]
[Code]
EditThinker: Unlocking Iterative Reasoning for Any Image Editor
[Website]
[Project]
[Code]
EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
[Website]
[Project]
[Code]
SpotEdit: Selective Region Editing in Diffusion Transformers
[Website]
[Project]
[Code]
Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling
[Website]
[Project]
[Code]
ChordEdit: One-Step Low-Energy Transport for Image Editing
[Website]
[Project]
[Code]
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
[SIGGRAPH 2023]
[Code]
Learning to Follow Object-Centric Image Editing Instructions Faithfully
[EMNLP 2023]
[Code]
Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling
[ICCV 2025]
[Code]
Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
[CVPR 2025]
[Code]
GroupDiff: Diffusion-based Group Portrait Editing
[ECCV 2024]
[Code]
GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
[CVPR 2024]
[Code]
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
[CVPR 2024]
[Code]
ZONE: Zero-Shot Instruction-Guided Local Editing
[CVPR 2024]
[Code]
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
[CVPR 2024]
[Code]
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
[ECCV 2024]
[Code]
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
[ECCV 2024]
[Code]
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
[ECCV 2024]
[Code]
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
[AAAI 2024]
[Code]
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
[AAAI 2024]
[Code]
Face Aging via Diffusion-based Editing
[BMVC 2023]
[Code]
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing
[Website]
[Code]
Step1X-Edit: A Practical Framework for General Image Editing
[Website]
[Code]
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
[Website]
[Code]
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing
[Website]
[Code]
MoEdit: On Learning Quantity Perception for Multi-object Image Editing
[Website]
[Code]
REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models
[Website]
[Code]
FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image Editing
[Website]
[Code]
Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing
[Website]
[Code]
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
[Website]
[Code]
DiT4Edit: Diffusion Transformer for Image Editing
[Website]
[Code]
FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors
[Website]
[Code]
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
[Website]
[Code]
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
[Website]
[Code]
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
[Website]
[Code]
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
[Website]
[Code]
Differential Diffusion: Giving Each Pixel Its Strength
[Website]
[Code]
Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
[Website]
[Code]
MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing
[Website]
[Code]
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing
[Website]
[Code]
LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing
[Website]
[Code]
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
[Website]
[Code]
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
[Website]
[Code]
Forgedit: Text Guided Image Editing via Learning and Forgetting
[Website]
[Code]
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
[Website]
[Code]
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
[Website]
[Code]
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
[Website]
[Code]
Unified Diffusion-Based Rigid and Non-Rigid Editing with Text and Image Guidance
[Website]
[Code]
SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing
[Website]
[Code]
SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding
[Website]
[Code]
Image-Editing Specialists: An RLAIF Approach for Diffusion Models
[Website]
[Code]
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
[Website]
[Code]
PromptFix: You Prompt and We Fix the Photo
[Website]
[Code]
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation
[Website]
[Code]
Single Image Iterative Subject-driven Generation and Editing
[Website]
[Code]
Image Editing As Programs with Diffusion Models
[Website]
[Code]
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
[Website]
[Code]
Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models
[Website]
[Code]
Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
[Website]
[Code]
The Promise of RL for Autoregressive Image Editing
[Website]
[Code]
X2Edit: Revisiting Arbitrary-Instruction Image Editing through Self-Constructed Data and Task-Aware Representation Learning
[Website]
[Code]
Visual Autoregressive Modeling for Instruction-Guided Image Editing
[Website]
[Code]
SpotEdit: Evaluating Visually-Guided Image Editing Methods
[Website]
[Code]
Delta Velocity Rectified Flow for Text-to-Image Editing
[Website]
[Code]
Lego-Edit: A General Image Editing Framework with Model-Level Bricks and MLLM Builder
[Website]
[Code]
AgeBooth: Controllable Facial Aging and Rejuvenation via Diffusion Models
[Website]
[Code]
Region in Context: Text-condition Image editing with Human-like semantic reasoning
[Website]
[Code]
RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
[Website]
[Code]
Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing
[Website]
[Code]
LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning
[Website]
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Truncated — view the full README on GitHub.
384 followers · starred Aug 2023
300 followers · starred Feb 2024
110 followers · starred Dec 2023
84 followers · starred Jan 2024
