PeterouZh/Deep_Generative_Models

A collection of papers I am interested in.

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updated Apr 3, 2023

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GAN-Inversion

A collection of papers I am interested in.

Awesome

Renderer

Pybind

Video

Project

Face

3D

Tools

GUI

StyleGAN

Style transfer

Art

Anime

TOC

arXiv

TitleVenueCodeYear
Perceptual Gradient NetworksarXiv:2105.01957 [cs]2021
InfinityGAN: Towards Infinite-Resolution Image SynthesisarXiv:2104.03963 [cs]2021
Aliasing Is Your Ally: End-to-End Super-Resolution from Raw Image BurstsarXiv:2104.06191 [cs, eess]2021
StylePeople: A Generative Model of Fullbody Human AvatarsarXiv:2104.08363 [cs]2021
Cross-Domain and Disentangled Face Manipulation with 3D GuidancearXiv:2104.11228 [cs]2021
On Buggy Resizing Libraries and Surprising Subtleties in FID CalculationarXiv:2104.11222 [cs]2021
FDA: Fourier Domain Adaptation for Semantic SegmentationarXiv:2004.05498 [cs]github2020
StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image EditingCVPR2021
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-Trained GAN for Semantic Age ManipulationarXiv:2011.00954 [cs]2021
GANalyze: Toward Visual Definitions of Cognitive Image PropertiesarXiv:1906.10112 [cs]2019
On the “Steerability” of Generative Adversarial NetworksarXiv:1907.07171 [cs]2020
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual RepresentationarXiv:2104.11116 [cs, eess]2021
Unsupervised Image-to-Image Translation via Pre-Trained StyleGAN2 NetworkarXiv:2010.05713 [cs]github2020
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortarXiv:2104.06490 [cs]2021
Anycost GANs for Interactive Image Synthesis and EditingCVPR2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain GeneralizationarXiv:2104.05833 [cs]2021
Positional Encoding as Spatial Inductive Bias in GANsarXiv:2012.05217 [cs]2020
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial NetworksarXiv:2104.03535 [cs.CV]2021
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksCVPRWgithub2020
Image Demoireing with Learnable Bandpass FiltersarXiv:2004.00406 [cs]2020
Unveiling the Potential of Structure Preserving for Weakly Supervised Object LocalizationarXiv:2103.04523 [cs]2021
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable DirectionsarXiv:2104.00820 [cs]2021
Generating Images with Sparse RepresentationsarXiv:2103.03841 [cs, stat]2021
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in ClusteringCVPR2021
Dual Contrastive Loss and Attention for GANsarXiv:2103.16748 [cs.CV]2021
Unsupervised Disentanglement of Linear-Encoded Facial SemanticsCVPR2021
Emergence of Object Segmentation in Perturbed Generative ModelsarXiv:1905.12663 [cs]github2019
Unsupervised Discovery of DisentangledManifolds in GANsarXiv:2011.11842 [cs]github2020
StyleCLIP: Text-Driven Manipulation of StyleGAN ImageryarXiv:2103.17249 [cs]github2021
Few-Shot Semantic Image Synthesis Using StyleGAN PriorarXiv:2103.14877 [cs]2021

Disentanglement

Semantic hierarchy

Inversion

Optimization

TitleVenueCodeYear
Image2StyleGAN++: How to Edit the Embedded Images?arXiv:1911.11544 [cs]2020
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?ICCV2019
Inverting The Generator Of A Generative Adversarial NetworkarXiv:1611.05644 [cs]2016
Feature-Based Metrics for Exploring the Latent Space of Generative ModelsICLRW2018
Understanding Deep Image Representations by Inverting ThemCVPR2015
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversionarXiv:1912.08795 [cs, stat]DeepInversion2020
IMAGINE: Image Synthesis by Image-Guided Model InversionarXiv:2104.05895 [cs]2021
Image Processing Using Multi-Code GAN PriorCVPRmGANprior2020
Generative Visual Manipulation on the Natural Image ManifoldECCV2018
GAN Dissection: Visualizing and Understanding Generative Adversarial NetworksarXiv:1811.10597 [cs]2018
GAN-Based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse ProblemsarXiv:1902.09698 [cs, eess, stat]2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative ModelsCVPR2020
Rewriting a Deep Generative ModelarXiv:2007.15646 [cs]2020
Transforming and Projecting Images into Class-Conditional Generative NetworksarXiv:2005.01703 [cs]2020
StyleGAN2 Distillation for Feed-Forward Image ManipulationarXiv:2003.03581 [cs.CV]2020
On the “Steerability” of Generative Adversarial NetworksarXiv:1907.07171 [cs]2020
Unsupervised Discovery of DisentangledManifolds in GANsarXiv:2011.11842 [cs]2020
PIE: Portrait Image Embedding for Semantic ControlarXiv:2009.09485 [cs]2020
GANSpace: Discovering Interpretable GAN ControlsNeurIPS2020
When and How Can Deep Generative Models Be Inverted?arXiv:2006.15555 [cs, stat]2020
Style Intervention: How to Achieve Spatial Disentanglement with Style-Based Generators?arXiv:2011.09699 [cs]2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image GenerationarXiv:2011.12799 [cs]2020
Navigating the GAN Parameter Space for Semantic Image EditingarXiv:2011.13786 [cs]2021
Mask-Guided Discovery of Semantic Manifolds in Generative ModelsarXiv:2105.07273 [cs]masked-gan-manifold2021
StyleFlow: Attribute-Conditioned Exploration of StyleGAN-Generated Images Using Conditional Continuous Normalizing FlowsarXiv:2008.02401 [cs]StyleFlow2020
Disentangled Face Attribute Editing via Instance-Aware Latent Space SearcharXiv:2105.12660 [cs]2021
Barbershop: GAN-Based Image Compositing Using Segmentation MasksarXiv:2106.01505 [cs]2021
Unsupervised Discovery of Interpretable Directions in the GAN Latent SpacearXiv:2002.03754 [cs, stat]GANLatentDiscovery2020
Pivotal Tuning for Latent-Based Editing of Real ImagesarXiv:2106.05744 [cs]PTI2021
Editing in Style: Uncovering the Local Semantics of GANsCVPR2020
Retrieve in Style: Unsupervised Facial Feature Transfer and RetrievalarXiv:2107.06256 [cs]RetrieveInStyle2021
StyleCariGAN: Caricature Generation via StyleGAN Feature Map ModulationarXiv:2107.04331 [cs]2021
A Simple Baseline for StyleGAN InversionarXiv:2104.07661 [cs]2021
From Continuity to Editability: Inverting GANs with Consecutive ImagesarXiv:2107.13812 [cs]2021
AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer LearningACM Transactions on Graphics (Proc. SIGGRAPH)2021
Talk-to-Edit: Fine-Grained Facial Editing via DialogICCVTalk-to-Edit2021
Improved StyleGAN Embedding: Where Are the Good Latents?arXiv:2012.09036 [cs]II2S2021
EditGAN: High-Precision Semantic Image EditingeditGAN_release2021
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-Dimensional Latent Spaces from StyleGANarXiv:2204.12696 [cs]2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and EditingCVPRsam_inversionarXiv. 2022
Real Image Inversion via SegmentsarXiv:2110.06269Chunkmogrify2021

Encoder

TitleVenueCodeYear
GLEAN: Generative Latent Bank for Large-Factor Image Super-ResolutionarXiv:2012.00739 [cs]GLEAN2020
Swapping Autoencoder for Deep Image ManipulationarXiv:2007.00653 [cs]github2020
In-Domain GAN Inversion for Real Image EditingECCV2020
ReStyle: A Residual-Based StyleGAN Encoder via Iterative RefinementarXiv:2104.02699 [cs]ReStyle2021
Interpreting the Latent Space of GANs for Semantic Face EditingCVPR2020
Face Identity Disentanglement via Latent Space MappingarXiv:2005.07728 [cs]2020
Collaborative Learning for Faster StyleGAN EmbeddingarXiv:2007.01758 [cs]2020
Unsupervised Discovery of DisentangledManifolds in GANsarXiv:2011.11842 [cs]2020
Generative Hierarchical Features from Synthesizing ImagesarXiv:2007.10379 [cs]2020
One Shot Face Swapping on MegapixelsarXiv:2105.04932 [cs]2021
GAN Prior Embedded Network for Blind Face Restoration in the Wild2021
Adversarial Latent AutoencodersCVPRALAE2020
Encoding in Style: A StyleGAN Encoder for Image-to-Image TranslationarXiv:2008.00951 [cs]psp2021
Designing an Encoder for StyleGAN Image ManipulationarXiv:2102.02766 [cs]encoder4editing2021
A Latent Transformer for Disentangled and Identity-Preserving Face EditingarXiv:2106.11895 [cs]2021
ShapeEditer: A StyleGAN Encoder for Face SwappingarXiv:2106.13984 [cs]2021
Force-in-Domain GAN InversionarXiv:2107.06050 [cs, eess]2021
StyleFusion: A Generative Model for Disentangling Spatial SegmentsarXiv:2107.07437 [cs]2021
Perceptually Validated Precise Local Editing for Facial Action Units with StyleGANarXiv:2107.12143 [cs]2021
StyleGAN2 Distillation for Feed-Forward Image ManipulationarXiv:2003.03581 [cs.CV]2020
GAN Inversion for Out-of-Range Images with Geometric TransformationsICCV2021
:heart: DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style EditingarXiv:2109.10737 [cs]DyStyle2021
High-Fidelity GAN Inversion for Image Attribute EditingarXiv:2109.06590 [cs]2021
:heart: Few-Shot Knowledge Transfer for Fine-Grained Cartoon Face GenerationarXiv:2007.13332 [cs]2020
:heart: HyperInverter: Improving StyleGAN Inversion via HypernetworkCVPRHyperInverterarXiv. 2022
[High-Fidelity GAN Inversion with Padding Space]ECCVpadinv2022

Hybrid optimization

Without optimization

DGP

Cls

Change pose implicitly

Survey

TitleVenueCodeYear
GAN Inversion: A SurveyarXiv:2101.05278 [cs]2021

GANs

NeurIPS 2021

Theory

TitleVenueCodeYear
:white_check_mark: Towards a Better Global Loss Landscape of GANsNeurIPS2020
On the Benefit of Width for Neural Networks: Disappearance of Bad BasinsarXiv:1812.11039 [cs, math, stat]2021

Regs

Detection

TitleVenueCodeYear
Self-Supervised Object Detection via Generative Image SynthesisarXiv:2110.09848 [cs]2021

StyleGANs

TitleVenueCodeYear
A Style-Based Generator Architecture for Generative Adversarial NetworksCVPR2019
Analyzing and Improving the Image Quality of StyleGANarXiv:1912.04958 [cs, eess, stat]2019
Training Generative Adversarial Networks with Limited DataarXiv:2006.06676 [cs, stat]2020
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited DataNeurIPS2021
Alias-Free Generative Adversarial NetworksarXiv:2106.12423 [cs, stat]alias-free-gan, rep22021
Transforming the Latent Space of StyleGAN for Real Face EditingarXiv:2105.14230 [cs]TransStyleGAN2021
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image SynthesisarXiv:2104.04767 [cs, eess]MobileStyleGAN2021
Few-Shot Image Generation via Cross-Domain CorrespondenceCVPRfew-shot-gan-adaptation2021
EigenGAN: Layer-Wise Eigen-Learning for GANsarXiv:2104.12476 [cs, stat]EigenGAN2021
:heart: Toward Spatially Unbiased Generative ModelsICCVtoward_spatial_unbiased2021
Interpreting Generative Adversarial Networks for Interactive Image GenerationarXiv:2108.04896 [cs]2021
Explaining in Style: Training a GAN to Explain a Classifier in StyleSpaceICCVexplaining-in-style2021
:white_check_mark: Projected GANs Converge FasterNeurIPSprojected_gan2021
:white_check_mark: Towards Faster and Stabilized GAN Training for High-Fidelity Few-Shot Image SynthesisICLR2021github2021
:heart: Ensembling Off-the-Shelf Models for GAN TrainingarXiv:2112.09130 [cs]vision-aided-gan2021
:heart: StyleGAN-XL: Scaling StyleGAN to Large Diverse DatasetsarXiv:2202.00273 [cs]2022
When, Why, and Which Pretrained GANs Are Useful?ICLR2022
A U-Net Based Discriminator for Generative Adversarial NetworksCVPR2020

Transformer

SinGAN

Video

TitleVenueCodeYear
:heart: Diverse Generation from a Single Video Made PossiblearXiv:2109.08591 [cs]2021

GANs

TitleVenueCodeYear
:white_check_mark: Differentiable Augmentation for Data-Efficient GAN TrainingarXiv:2006.10738 [cs]2020
Sampling Generative NetworksarXiv:1609.04468 [cs, stat]2016
Combining Transformer Generators with Convolutional DiscriminatorsarXiv:2105.10189 [cs]2021
Improving Generation and Evaluation of Visual Stories via Semantic ConsistencyarXiv:2105.10026 [cs]2021
TediGAN: Text-Guided Diverse Face Image Generation and ManipulationCVPR2021
Data-Efficient Instance Generation from Instance DiscriminationarXiv:2106.04566 [cs]2021
Styleformer: Transformer Based Generative Adversarial Networks with Style VectorarXiv:2106.07023 [cs, eess]2021
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background CompositionarXiv:2107.03166 [cs]2021
ViTGAN: Training GANs with Vision TransformersarXiv:2107.04589 [cs, eess]2021
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention DistillationarXiv:2011.08382 [cs]2021
CGANs with Auxiliary Discriminative ClassifierarXiv:2107.10060 [cs]2021
A Good Image Generator Is What You Need for High-Resolution Video SynthesisICLR2021
Dual Projection Generative Adversarial Networks for Conditional Image GenerationICCV2021
Your GAN Is Secretly an Energy-Based Model and You Should Use Discriminator Driven Latent SamplingarXiv:2003.06060 [cs, stat]CGAN-DDLS2021
Manifold-Preserved GANsarXiv:2109.08955 [cs]2021
Latent Reweighting, an Almost Free Improvement for GANsarXiv:2110.09803 [cs]2021
STRANSGAN: AN EMPIRICAL STUDY ON TRANS- FORMER IN GANSarXiv:2110.13107 [cs.CV]2021
Self-Supervised GANs with Label AugmentationarXiv:2106.08601 [cs]2021
Regularizing Generative Adversarial Networks under Limited DataCVPRgithub2021

cGANs

TitleVenueCodeYear
Unbiased Auxiliary Classifier GANs with MINEarXiv:2006.07567 [cs]2020
Twin Auxiliary Classifiers GANarXiv:1907.02690 [cs, stat]2019

Finetune

Compression

Detection fake

Segmentation

Datasets

TitleVenueCodeYear
Gradient-Based Learning Applied to Document RecognitionProceedings of the IEEE[mnist]1998
Learning Multiple Layers of Features from Tiny Images[cifar]2009
ImageNet: A Large-Scale Hierarchical Image DatabaseCVPR[ImageNet]2009
Learning Hybrid Image Templates (HIT) by Information ProjectionTPAMIAnimalFace2012
A Style-Based Generator Architecture for Generative Adversarial NetworksCVPRFFHQ2019
StarGAN v2: Diverse Image Synthesis for Multiple DomainsCVPRAFHQ2020
Automated Flower Classification over a Large Number of Classes102Flowers2008
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many MappingsICMLCartoonSet2018
Anime Faces Sourced from Safebooru Resized to 256x256KaggleAnimeFace
Facial Expressions of Manga (Japanese Comic) Character FacesKaggleMangaExpressions
Open-Source Cartoon DatasetKagglephoto2cartoon
Simpsons Faces: A Lot of Images of Your Favourite CharactersKaggleSimpsonsFaces
Bitmoji FacesKaggleBitmojiFaces
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationAAHQ2021
:heart: Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data AloneICCVFaceSynthetics2021
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD ModelsCVPRchair2014
A Large-Scale Car Dataset for Fine-Grained Categorization and VerificationCVPR[CompCars]arXiv. 2015
The ArtBench Dataset: Benchmarking Generative Models with Artworks2022
DwNet: Dense Warp-Based Network for Pose-Guided Human Video GenerationBMVCFashion2019
MoCoGAN: Decomposing Motion and Content for Video GenerationCVPR[Tai-Chi]2018
Text2Human: Text-Driven Controllable Human Image GenerationACM Transactions on Graphics (TOG)DeepFashion-MultiModal2022

alias (ref)

Texture

Tiles

GAN application

Image-to-Image Translation

Style transfer

Metric & perceptual loss

Spectrum

Weakly Supervised Object Localization

Implicit Neural Representations

Energy

Flow

ChatGPT

Diffusion

Generation

TitleVenueCodeYear
Understanding Diffusion Models: A Unified PerspectivearXiv:2208.119702022
1 Deep Unsupervised Learning Using Nonequilibrium ThermodynamicsArXiv:1503.03585 [Cond-Mat, q-Bio, Stat]arXiv. 2015
2 Generative Modeling by Estimating Gradients of the Data DistributionNeurIPS2019
3 Denoising Diffusion Probabilistic ModelsarXiv:2006.11239 [cs, stat]diffusion, denoising-diffusion-pytorch2020
Denoising Diffusion Implicit ModelsICLR[DDIM]arXiv. 2021
Improved Denoising Diffusion Probabilistic ModelsArXiv:2102.09672 [Cs.LG]improved-diffusion2021
Score-Based Generative Modeling through Stochastic Differential EquationsICLR2021
35 steps Elucidating the Design Space of Diffusion-Based Generative ModelsArXiv:2206.00364 [Cs, Stat]k-diffusionarXiv. 2022
10 steps DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsArXiv:2206.00927 [Cs, Stat]dpm-solverarXiv. 2022
:heart: SDEdit: Image Synthesis and Editing with Stochastic Differential EquationsarXiv:2108.01073 [cs]SDEdit2021
D2C: Diffusion-Denoising Models for Few-Shot Conditional GenerationarXiv:2106.06819 [cs]2021
Label-Efficient Semantic Segmentation with Diffusion Modelsddpm-segmentation2021
Analog Bits: Generating Discrete Data Using Diffusion Models with Self-Conditioningbit-diffusion2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoisearXiv:2208.09392Cold-Diffusion-Models2022
Diffusion-GAN: Training GANs with DiffusionarXiv:2206.02262Diffusion-GAN2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANsICLRdenoising-diffusion-gan2022
Score-Based Generative Modeling in Latent SpaceNeurIPSLSGMarXiv. 2021
Compositional Visual Generation with Composable Diffusion ModelsECCVComposable-DiffusionarXiv. 2022
Accelerating Score-Based Generative Models with Preconditioned Diffusion SamplingECCVPDS2022
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCVPRdiffae2022
Cascaded Diffusion Models for High Fidelity Image GenerationarXiv:2106.152822021

Inversion

Text-to-image

Image_to_image

3D

Detection

3D & NeRF

Sine

INR

3D & NeRF GANs

TitleVenueCodeYearCite
:heavy_check_mark: HoloGAN: Unsupervised Learning of 3D Representations from Natural ImagesICCV2019
BlockGAN: Learning 3D Object-Aware Scene Representations from Unlabelled ImagesNeurIPS2020
:heavy_check_mark: GRAF: Generative Radiance Fields for 3D-Aware Image SynthesisarXiv:2007.02442 [cs]2021
:heavy_check_mark: Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image SynthesisarXiv:2012.00926 [cs]pi-GAN202119
:heavy_check_mark: GIRAFFE: Representing Scenes as Compositional Generative Neural Feature FieldsCVPRgiraffe2021
:heavy_check_mark: GIRAFFE HD: A High-Resolution 3D-Aware Generative ModelCVPR2022
:heart: StyleNeRF: A Style-Based 3D-Aware Generator for High-Resolution Image SynthesisarXiv:2110.08985 [cs, stat]2021
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance FieldsarXiv:2103.17269 [cs]2021
:heavy_check_mark: GNeRF: GAN-Based Neural Radiance Field without Posed CameraarXiv:2103.15606 [cs]gnerf2021
:heart: Unconstrained Scene Generation with Locally Conditioned Radiance FieldsICCVml-gsn2021
Learning Object-Compositional Neural Radiance Field for Editable Scene RenderingICCV2021
:heavy_check_mark: A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image SynthesisNeurIPS2021
:heavy_check_mark: Generative Occupancy Fields for 3D Surface-Aware Image SynthesisNeurIPS2021
:heavy_check_mark: Efficient Geometry-Aware 3D Generative Adversarial NetworksarXiv:2112.07945 [cs]eg3d2021
:heavy_check_mark: 3D-Aware Image Synthesis via Learning Structural and Textural RepresentationsarXiv:2112.10759 [cs]VolumeGAN2021
:heavy_check_mark: GRAM: Generative Radiance Manifolds for 3D-Aware Image GenerationarXiv:2112.08867 [cs]GRAM2021
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANsCVPR2022
:heavy_check_mark: Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular ImagesCVPR2022
:heavy_check_mark: Multi-View Consistent Generative Adversarial Networks for 3D-Aware Image SynthesisCVPRMVCGAN2022
:heavy_check_mark: FENeRF: Face Editing in Neural Radiance FieldsCVPRFENeRF2022
:heavy_check_mark: IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-Aware Portrait SynthesisarXiv:2205.155172022
:heavy_check_mark: EpiGRAF: Rethinking Training of 3D GANsArXiv:2206.10535 [Cs]epigrafarXiv. 2022
https://github.com/rethinking-3d-gans/code
:heart: Generative Multiplane Images: Making a 2D GAN 3D-AwareECCVml-gmpiarXiv. 2022
GAUDI: A Neural Architect for Immersive 3D Scene GenerationArXiv:2207.13751 [Cs]ml-gaudiarXiv. 2022
Deep Deformable 3D Caricatures with Learned Shape ControlSIGGRAPHDeepDeformable3DCaricaturesVancouver BC Canada: ACM. 2022
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image SynthesisECCVSURF-GANarXiv. 2022
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields TranslationarXiv:2202.13162 [cs]2022
[Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation]TT-GNeRF

Diffusion

NeRF large scene

NeRF

TitleVenueCodeYearCite
Ray Tracing Volume DensitiesSIGGRAPH1984
:white_check_mark: NeRF: Representing Scenes as Neural Radiance Fields for View SynthesisECCVnerf-pytorch2020
:white_check_mark: NeRF--: Neural Radiance Fields Without Known Camera ParametersarXiv:2102.07064 [cs]nerfmm, improved-nerfmm2021
:white_check_mark: NeRF++: Analyzing and Improving Neural Radiance FieldsarXiv:2010.07492 [cs]nerfplusplus2020
:white_check_mark: FastNeRF: High-Fidelity Neural Rendering at 200FPSarXiv:2103.10380 [cs]2021
:white_check_mark: KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPsICCV2021
Plenoxels: Radiance Fields without Neural NetworksarXiv:2112.05131 [cs]svox22021
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-ThroughsarXiv:2112.10703 [cs]mega-nerf2021
:heart: Neural Sparse Voxel FieldsarXiv:2007.11571 [cs]NSVF2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsICCV2021
:heart: Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance FieldsarXiv:2111.12077 [cs.CV]2021
:heart: Neural Actor: Neural Free-View Synthesis of Human Actors with Pose ControlarXiv:2106.02019 [cs]2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encodinginstant-ngp
:heart: Point-NeRF: Point-Based Neural Radiance FieldsarXiv:2201.08845 [cs]pointnerf2022
MoFaNeRF: Morphable Facial Neural Radiance FieldarXiv:2112.02308 [cs]2021
Object-Centric Neural Scene Rendering2020
Semantic View Synthesis2020
NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild2021
MINE: Towards Continuous Depth MPI with NeRF for Novel View SynthesisarXiv:2103.14910 [cs]2021
:white_check_mark: CodeNeRF: Disentangled Neural Radiance Fields for Object CategoriesICCVcode-nerf2021
NeRF-SR: High-Quality Neural Radiance Fields Using Super-SamplingarXiv:2112.01759 [cs]2021
:heart: TensoRF: Tensorial Radiance FieldsarXiv:2203.09517 [cs]TensoRF2022
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance FieldsarXiv:2203.10821 [cs]2022
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance FieldsarXiv:2112.05139 [cs]2022
BARF: Bundle-Adjusting Neural Radiance FieldsarXiv:2104.06405 [cs]2021
Unified Implicit Neural StylizationarXiv:2204.01943 [cs]2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single ImagearXiv:2204.00928 [cs]2022
NeRF-Editing: Geometry Editing of Neural Radiance FieldsCVPRNeRF-Editing2022
PixelNeRF: Neural Radiance Fields from One or Few ImagesCVPRpixel-nerf2021
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance FieldsCVPRrefnerf2022

3D inversion

TitleVenueCodeYearCite
Unsupervised 3D Shape Completion through GAN InversionCVPR2021
3D GAN Inversion for Controllable Portrait Image AnimationArXiv:2203.13441 [Cs]arXiv. 2022
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields TranslationArXiv:2202.13162 [Cs]arXiv. 2022
[Monocular 3D Object Reconstruction with GAN Inversion]ECCV2022
[INeRF: Inverting Neural Radiance Fields for Pose Estimation] IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)inerf2021
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field InversionarXiv:2211.11674nerf-from-image2022

Dynamic

Voice

Hand

Hair

Loose garment

Rigging

TitleVenueCodeYearCite
:heart: [Learning Skeletal Articulations with Neural Blend Shapes]ACM Transactions on Graphicsneural-blend-shapes2021

Anime Body

TitleVenueCodeYear
Collaborative Neural Rendering Using Anime Character SheetsArXiv:2207.05378 [Cs]CoNRarXiv. 2022

Body

TitleVenueCodeYear
SMPL: A Skinned Multi-Person Linear ModelACM Trans. Graphics (Proc. SIGGRAPH Asia)2015
Expressive Body Capture: 3D Hands, Face, and Body from a Single ImageCVPR[SMPL-X]2019
AMASS: Archive of Motion Capture as Surface ShapesICCVAMASS2019
:heavy_check_mark: SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit ShapesICCV2021
:heavy_check_mark: Animatable Neural Radiance Fields for Modeling Dynamic Human BodiesICCVanimatable_nerf2021
Neural Actor: Neural Free-View Synthesis of Human Actors with Pose ControlSIGGRAPH Asia2021
:heavy_check_mark: Animatable Neural Radiance Fields from Monocular RGB VideosArXiv:2106.13629 [Cs]Anim-NeRFarXiv. 2021
VIBE: Video Inference for Human Body Pose and Shape EstimationCVPRVIBEarXiv. 2020
:heavy_check_mark: A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and PoseNeurIPSA-NeRFarXiv. 2021
HumanNeRF: Free-Viewpoint Rendering of Moving People from Monocular VideoCVPRhumannerf2022
:heart: The Power of Points for Modeling Humans in ClothingICCVPOP2021
:heart: Neural Point-Based Shape Modeling of Humans in Challenging ClothingInternational Conference on 3D Vision (3DV)SkiRT2022
StylePeople: A Generative Model of Fullbody Human AvatarsarXiv:2104.08363 [cs]2021
NPMs: Neural Parametric Models for 3D Deformable ShapesarXiv:2104.00702 [cs]2021
:heart: ICON: Implicit Clothed Humans Obtained from NormalsarXiv:2112.09127 [cs]ICON2022
:heart: GDNA: Towards Generative Detailed Neural AvatarsCVPR2022
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar NetworksCVPR2021
NeuralAnnot: Neural Annotator for 3D Human Mesh Training SetsarXiv:2011.11232 [cs]2022
:heart: PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopICCV2021
:heart: Structured Local Radiance Fields for Human Avatar ModelingCVPRarXiv. 2022
:heavy_check_mark: SelfRecon: Self Reconstruction Your Digital Avatar from Monocular VideoCVPRSelfReconarXiv. 2022
[ARAH: Animatable Volume Rendering of Articulated Human SDFs]ECCVarah2022
Neural Actor: Neural Free-View Synthesis of Human Actors with Pose ControlSIGGRAPH AsiaNeural_Actor_Main_CodearXiv. 2021
:heart: Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View SynthesisarXiv:2204.11798 [cs]gnr2022
:heart: NeuMan: Neural Human Radiance Field from a Single VideoECCVml-neuman2022
Surface-Aligned Neural Radiance Fields for Controllable 3D Human SynthesisCVPRsurface-aligned-nerfarXiv. 2022
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human ModelingECCVLoRD2022
TAVA: Template-Free Animatable Volumetric ActorsECCVtava2022
Fast-SNARF: A Fast Deformer for Articulated Neural Fieldsfast-snarf2022
InstantAvatar: Learning Avatars from Monocular Video in 60 SecondsarXiv:2212.10550InstantAvatar2022

Body Generation

Body from video

3DMM Face

3D FACE Avatars

Stylization

Face Style

Face Animation

Renderer & Regularization

TitleVenueCodeYear
Implicit Geometric Regularization for Learning ShapesICML[Eikonal]2020
Neural 3D Scene Reconstruction with the Manhattan-World AssumptionCVPRmanhattan_sdf2022
:heart: Differentiable Signed Distance Function RenderingTransactions on Graphics (Proceedings of SIGGRAPH)sdf2022
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-View ReconstructionNeuS2021
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete DataECCVsnes2022
:heart: Volume Rendering of Neural Implicit SurfacesarXiv:2106.12052 [cs]volsdf2021
Multiview Neural Surface Reconstruction by Disentangling Geometry and AppearanceNeurIPSidr2020
:heavy_check_mark: Multi-View Mesh Reconstruction With Neural Deferred ShadingCVPRneural-deferred-shading2022
:heart: IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric ImagesCVPRIRONarXiv. 2022
:heavy_check_mark: UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View ReconstructionICCVunisurf2021
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionArXiv:2206.006652022
Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields ReconstructionCVPRDirectVoxGOarXiv. 2022
Improved Direct Voxel Grid Optimization for Radiance Fields ReconstructionArXiv:2206.05085 [Cs]arXiv. 2022
Improved Surface Reconstruction Using High-Frequency DetailsArXiv:2206.07850 [Cs]arXiv. 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume RenderingCVPRInfoNeRFarXiv. 2022
Improving Neural Implicit Surfaces Geometry with Patch WarpingCVPRNeuralWarparXiv. 2022
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse ViewsECCVSparseNeuSarXiv. 2022
[NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing]ECCVNeuMesh2022
Neural Density-Distance FieldsECCVneddfarXiv. 2022
Neural 3D Reconstruction in the WildSIGGRAPHNeuralRecon-W2022
:heart: KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of KeypointsarXiv:2205.04992 [cs]KeypointNeRF2022
GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface ReconstructionInternational Conference on 3D Vision (3DV)go-surf2022

Material and lighting

TitleVenueCodeYear
NeILF: Neural Incident Light Field for Physically-Based Material EstimationECCVneilfarXiv. 2022
[NeRF for Outdoor Scene Relighting]ECCVNeRF-OSR2022

Motion

Shape generation

TitleVenueCodeYear
Learning Implicit Fields for Generative Shape ModelingarXiv:1812.02822 [cs]2019

SMPL estimation

Segmentation

Datasets

FLAME estimation

Dog estimation

TitleVenueCodeYear
[BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information]CVPRbarc_release2022

Panoptic

SDF

3D

Point Cloud

Stylization

TitleVenueCodeYear
Learning to Stylize Novel ViewsarXiv:2105.13509 [cs]stylescene2021

Datasets

3D-aware image synthesis (ref)

Face

Tools

Edit

Anime Face

3DMM

TitleVenueCodeYear
A Morphable Model for the Synthesis of 3D FacesProceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques[3DMM]SIGGRAPH ’99, USA: ACM Press/Addison-Wesley Publishing Co. 1999

Face

TitleVenueCodeYear
SketchHairSalon: Deep Sketch-Based Hair Image SynthesisarXiv:2109.07874 [cs]2021

Face Alignment

TitleVenueCodeYear
Face Alignment Across Large Poses: A 3D SolutionIEEE Transactions on Pattern Analysis and Machine Intelligence2019

Face Recognition

TitleVenueCodeYear
High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2015

Face swapping

3D

TitleVenueCodeYear
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the WildarXiv:1911.11130 [cs]unsup3d2020
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANsarXiv:2011.00844 [cs]GAN2Shape2021
A Geometric Analysis of Deep Generative Image Models and Its ApplicationsICLR2021
Lifting 2D StyleGAN for 3D-Aware Face GenerationCVPRLiftedGAN2021
Image GANs Meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural RenderingarXiv:2010.09125 [cs]2021
Neural 3D Mesh RendererCVPR2018
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face ReconstructionarXiv:2105.07474 [cs]2021
Inverting Generative Adversarial Renderer for Face ReconstructionCVPRStyleRenderer2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo CollectionarXiv:2106.07852 [cs]2021
Subdivision-Based Mesh Convolution NetworksarXiv:2106.02285 [cs]2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo CollectionCVPR2021
To Fit or Not to Fit: Model-Based Face Reconstruction and Occlusion Segmentation from Weak SupervisionarXiv:2106.09614 [cs]2021
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial NetworksarXiv:2106.13041 [cs, eess, stat]2021
DOVE: Learning Deformable 3D Objects by Watching VideosarXiv:2107.10844 [cs]2021
De-Rendering the World’s Revolutionary ArtefactsCVPR2021
Learning Generative Models of Textured 3D Meshes from Real-World ImagesICCV2021
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple ImagesICCV2021

DA

Data

CNN & BN

Light architecture

Antialiased CNNs

Architecture

Truncated — view the full README on GitHub.

Contributors

PeterouZh

123 commits

PeterouZh/Deep_Generative_Models

A collection of papers I am interested in.

29

123 commits

updated Apr 3, 2023

See the code

README

GAN-Inversion

A collection of papers I am interested in.

Awesome

Renderer

Pybind

Video

Project

Face

3D

Tools

GUI

StyleGAN

Style transfer

Art

Anime

TOC

arXiv

TitleVenueCodeYear
Perceptual Gradient NetworksarXiv:2105.01957 [cs]2021
InfinityGAN: Towards Infinite-Resolution Image SynthesisarXiv:2104.03963 [cs]2021
Aliasing Is Your Ally: End-to-End Super-Resolution from Raw Image BurstsarXiv:2104.06191 [cs, eess]2021
StylePeople: A Generative Model of Fullbody Human AvatarsarXiv:2104.08363 [cs]2021
Cross-Domain and Disentangled Face Manipulation with 3D GuidancearXiv:2104.11228 [cs]2021
On Buggy Resizing Libraries and Surprising Subtleties in FID CalculationarXiv:2104.11222 [cs]2021
FDA: Fourier Domain Adaptation for Semantic SegmentationarXiv:2004.05498 [cs]github2020
StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image EditingCVPR2021
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-Trained GAN for Semantic Age ManipulationarXiv:2011.00954 [cs]2021
GANalyze: Toward Visual Definitions of Cognitive Image PropertiesarXiv:1906.10112 [cs]2019
On the “Steerability” of Generative Adversarial NetworksarXiv:1907.07171 [cs]2020
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual RepresentationarXiv:2104.11116 [cs, eess]2021
Unsupervised Image-to-Image Translation via Pre-Trained StyleGAN2 NetworkarXiv:2010.05713 [cs]github2020
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortarXiv:2104.06490 [cs]2021
Anycost GANs for Interactive Image Synthesis and EditingCVPR2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain GeneralizationarXiv:2104.05833 [cs]2021
Positional Encoding as Spatial Inductive Bias in GANsarXiv:2012.05217 [cs]2020
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial NetworksarXiv:2104.03535 [cs.CV]2021
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksCVPRWgithub2020
Image Demoireing with Learnable Bandpass FiltersarXiv:2004.00406 [cs]2020
Unveiling the Potential of Structure Preserving for Weakly Supervised Object LocalizationarXiv:2103.04523 [cs]2021
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable DirectionsarXiv:2104.00820 [cs]2021
Generating Images with Sparse RepresentationsarXiv:2103.03841 [cs, stat]2021
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in ClusteringCVPR2021
Dual Contrastive Loss and Attention for GANsarXiv:2103.16748 [cs.CV]2021
Unsupervised Disentanglement of Linear-Encoded Facial SemanticsCVPR2021
Emergence of Object Segmentation in Perturbed Generative ModelsarXiv:1905.12663 [cs]github2019
Unsupervised Discovery of DisentangledManifolds in GANsarXiv:2011.11842 [cs]github2020
StyleCLIP: Text-Driven Manipulation of StyleGAN ImageryarXiv:2103.17249 [cs]github2021
Few-Shot Semantic Image Synthesis Using StyleGAN PriorarXiv:2103.14877 [cs]2021

Disentanglement

Semantic hierarchy

Inversion

Optimization

TitleVenueCodeYear
Image2StyleGAN++: How to Edit the Embedded Images?arXiv:1911.11544 [cs]2020
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?ICCV2019
Inverting The Generator Of A Generative Adversarial NetworkarXiv:1611.05644 [cs]2016
Feature-Based Metrics for Exploring the Latent Space of Generative ModelsICLRW2018
Understanding Deep Image Representations by Inverting ThemCVPR2015
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversionarXiv:1912.08795 [cs, stat]DeepInversion2020
IMAGINE: Image Synthesis by Image-Guided Model InversionarXiv:2104.05895 [cs]2021
Image Processing Using Multi-Code GAN PriorCVPRmGANprior2020
Generative Visual Manipulation on the Natural Image ManifoldECCV2018
GAN Dissection: Visualizing and Understanding Generative Adversarial NetworksarXiv:1811.10597 [cs]2018
GAN-Based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse ProblemsarXiv:1902.09698 [cs, eess, stat]2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative ModelsCVPR2020
Rewriting a Deep Generative ModelarXiv:2007.15646 [cs]2020
Transforming and Projecting Images into Class-Conditional Generative NetworksarXiv:2005.01703 [cs]2020
StyleGAN2 Distillation for Feed-Forward Image ManipulationarXiv:2003.03581 [cs.CV]2020
On the “Steerability” of Generative Adversarial NetworksarXiv:1907.07171 [cs]2020
Unsupervised Discovery of DisentangledManifolds in GANsarXiv:2011.11842 [cs]2020
PIE: Portrait Image Embedding for Semantic ControlarXiv:2009.09485 [cs]2020
GANSpace: Discovering Interpretable GAN ControlsNeurIPS2020
When and How Can Deep Generative Models Be Inverted?arXiv:2006.15555 [cs, stat]2020
Style Intervention: How to Achieve Spatial Disentanglement with Style-Based Generators?arXiv:2011.09699 [cs]2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image GenerationarXiv:2011.12799 [cs]2020
Navigating the GAN Parameter Space for Semantic Image EditingarXiv:2011.13786 [cs]2021
Mask-Guided Discovery of Semantic Manifolds in Generative ModelsarXiv:2105.07273 [cs]masked-gan-manifold2021
StyleFlow: Attribute-Conditioned Exploration of StyleGAN-Generated Images Using Conditional Continuous Normalizing FlowsarXiv:2008.02401 [cs]StyleFlow2020
Disentangled Face Attribute Editing via Instance-Aware Latent Space SearcharXiv:2105.12660 [cs]2021
Barbershop: GAN-Based Image Compositing Using Segmentation MasksarXiv:2106.01505 [cs]2021
Unsupervised Discovery of Interpretable Directions in the GAN Latent SpacearXiv:2002.03754 [cs, stat]GANLatentDiscovery2020
Pivotal Tuning for Latent-Based Editing of Real ImagesarXiv:2106.05744 [cs]PTI2021
Editing in Style: Uncovering the Local Semantics of GANsCVPR2020
Retrieve in Style: Unsupervised Facial Feature Transfer and RetrievalarXiv:2107.06256 [cs]RetrieveInStyle2021
StyleCariGAN: Caricature Generation via StyleGAN Feature Map ModulationarXiv:2107.04331 [cs]2021
A Simple Baseline for StyleGAN InversionarXiv:2104.07661 [cs]2021
From Continuity to Editability: Inverting GANs with Consecutive ImagesarXiv:2107.13812 [cs]2021
AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer LearningACM Transactions on Graphics (Proc. SIGGRAPH)2021
Talk-to-Edit: Fine-Grained Facial Editing via DialogICCVTalk-to-Edit2021
Improved StyleGAN Embedding: Where Are the Good Latents?arXiv:2012.09036 [cs]II2S2021
EditGAN: High-Precision Semantic Image EditingeditGAN_release2021
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-Dimensional Latent Spaces from StyleGANarXiv:2204.12696 [cs]2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and EditingCVPRsam_inversionarXiv. 2022
Real Image Inversion via SegmentsarXiv:2110.06269Chunkmogrify2021

Encoder

TitleVenueCodeYear
GLEAN: Generative Latent Bank for Large-Factor Image Super-ResolutionarXiv:2012.00739 [cs]GLEAN2020
Swapping Autoencoder for Deep Image ManipulationarXiv:2007.00653 [cs]github2020
In-Domain GAN Inversion for Real Image EditingECCV2020
ReStyle: A Residual-Based StyleGAN Encoder via Iterative RefinementarXiv:2104.02699 [cs]ReStyle2021
Interpreting the Latent Space of GANs for Semantic Face EditingCVPR2020
Face Identity Disentanglement via Latent Space MappingarXiv:2005.07728 [cs]2020
Collaborative Learning for Faster StyleGAN EmbeddingarXiv:2007.01758 [cs]2020
Unsupervised Discovery of DisentangledManifolds in GANsarXiv:2011.11842 [cs]2020
Generative Hierarchical Features from Synthesizing ImagesarXiv:2007.10379 [cs]2020
One Shot Face Swapping on MegapixelsarXiv:2105.04932 [cs]2021
GAN Prior Embedded Network for Blind Face Restoration in the Wild2021
Adversarial Latent AutoencodersCVPRALAE2020
Encoding in Style: A StyleGAN Encoder for Image-to-Image TranslationarXiv:2008.00951 [cs]psp2021
Designing an Encoder for StyleGAN Image ManipulationarXiv:2102.02766 [cs]encoder4editing2021
A Latent Transformer for Disentangled and Identity-Preserving Face EditingarXiv:2106.11895 [cs]2021
ShapeEditer: A StyleGAN Encoder for Face SwappingarXiv:2106.13984 [cs]2021
Force-in-Domain GAN InversionarXiv:2107.06050 [cs, eess]2021
StyleFusion: A Generative Model for Disentangling Spatial SegmentsarXiv:2107.07437 [cs]2021
Perceptually Validated Precise Local Editing for Facial Action Units with StyleGANarXiv:2107.12143 [cs]2021
StyleGAN2 Distillation for Feed-Forward Image ManipulationarXiv:2003.03581 [cs.CV]2020
GAN Inversion for Out-of-Range Images with Geometric TransformationsICCV2021
:heart: DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style EditingarXiv:2109.10737 [cs]DyStyle2021
High-Fidelity GAN Inversion for Image Attribute EditingarXiv:2109.06590 [cs]2021
:heart: Few-Shot Knowledge Transfer for Fine-Grained Cartoon Face GenerationarXiv:2007.13332 [cs]2020
:heart: HyperInverter: Improving StyleGAN Inversion via HypernetworkCVPRHyperInverterarXiv. 2022
[High-Fidelity GAN Inversion with Padding Space]ECCVpadinv2022

Hybrid optimization

Without optimization

DGP

Cls

Change pose implicitly

Survey

TitleVenueCodeYear
GAN Inversion: A SurveyarXiv:2101.05278 [cs]2021

GANs

NeurIPS 2021

Theory

TitleVenueCodeYear
:white_check_mark: Towards a Better Global Loss Landscape of GANsNeurIPS2020
On the Benefit of Width for Neural Networks: Disappearance of Bad BasinsarXiv:1812.11039 [cs, math, stat]2021

Regs

Detection

TitleVenueCodeYear
Self-Supervised Object Detection via Generative Image SynthesisarXiv:2110.09848 [cs]2021

StyleGANs

TitleVenueCodeYear
A Style-Based Generator Architecture for Generative Adversarial NetworksCVPR2019
Analyzing and Improving the Image Quality of StyleGANarXiv:1912.04958 [cs, eess, stat]2019
Training Generative Adversarial Networks with Limited DataarXiv:2006.06676 [cs, stat]2020
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited DataNeurIPS2021
Alias-Free Generative Adversarial NetworksarXiv:2106.12423 [cs, stat]alias-free-gan, rep22021
Transforming the Latent Space of StyleGAN for Real Face EditingarXiv:2105.14230 [cs]TransStyleGAN2021
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image SynthesisarXiv:2104.04767 [cs, eess]MobileStyleGAN2021
Few-Shot Image Generation via Cross-Domain CorrespondenceCVPRfew-shot-gan-adaptation2021
EigenGAN: Layer-Wise Eigen-Learning for GANsarXiv:2104.12476 [cs, stat]EigenGAN2021
:heart: Toward Spatially Unbiased Generative ModelsICCVtoward_spatial_unbiased2021
Interpreting Generative Adversarial Networks for Interactive Image GenerationarXiv:2108.04896 [cs]2021
Explaining in Style: Training a GAN to Explain a Classifier in StyleSpaceICCVexplaining-in-style2021
:white_check_mark: Projected GANs Converge FasterNeurIPSprojected_gan2021
:white_check_mark: Towards Faster and Stabilized GAN Training for High-Fidelity Few-Shot Image SynthesisICLR2021github2021
:heart: Ensembling Off-the-Shelf Models for GAN TrainingarXiv:2112.09130 [cs]vision-aided-gan2021
:heart: StyleGAN-XL: Scaling StyleGAN to Large Diverse DatasetsarXiv:2202.00273 [cs]2022
When, Why, and Which Pretrained GANs Are Useful?ICLR2022
A U-Net Based Discriminator for Generative Adversarial NetworksCVPR2020

Transformer

SinGAN

Video

TitleVenueCodeYear
:heart: Diverse Generation from a Single Video Made PossiblearXiv:2109.08591 [cs]2021

GANs

TitleVenueCodeYear
:white_check_mark: Differentiable Augmentation for Data-Efficient GAN TrainingarXiv:2006.10738 [cs]2020
Sampling Generative NetworksarXiv:1609.04468 [cs, stat]2016
Combining Transformer Generators with Convolutional DiscriminatorsarXiv:2105.10189 [cs]2021
Improving Generation and Evaluation of Visual Stories via Semantic ConsistencyarXiv:2105.10026 [cs]2021
TediGAN: Text-Guided Diverse Face Image Generation and ManipulationCVPR2021
Data-Efficient Instance Generation from Instance DiscriminationarXiv:2106.04566 [cs]2021
Styleformer: Transformer Based Generative Adversarial Networks with Style VectorarXiv:2106.07023 [cs, eess]2021
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background CompositionarXiv:2107.03166 [cs]2021
ViTGAN: Training GANs with Vision TransformersarXiv:2107.04589 [cs, eess]2021
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention DistillationarXiv:2011.08382 [cs]2021
CGANs with Auxiliary Discriminative ClassifierarXiv:2107.10060 [cs]2021
A Good Image Generator Is What You Need for High-Resolution Video SynthesisICLR2021
Dual Projection Generative Adversarial Networks for Conditional Image GenerationICCV2021
Your GAN Is Secretly an Energy-Based Model and You Should Use Discriminator Driven Latent SamplingarXiv:2003.06060 [cs, stat]CGAN-DDLS2021
Manifold-Preserved GANsarXiv:2109.08955 [cs]2021
Latent Reweighting, an Almost Free Improvement for GANsarXiv:2110.09803 [cs]2021
STRANSGAN: AN EMPIRICAL STUDY ON TRANS- FORMER IN GANSarXiv:2110.13107 [cs.CV]2021
Self-Supervised GANs with Label AugmentationarXiv:2106.08601 [cs]2021
Regularizing Generative Adversarial Networks under Limited DataCVPRgithub2021

cGANs

TitleVenueCodeYear
Unbiased Auxiliary Classifier GANs with MINEarXiv:2006.07567 [cs]2020
Twin Auxiliary Classifiers GANarXiv:1907.02690 [cs, stat]2019

Finetune

Compression

Detection fake

Segmentation

Datasets

TitleVenueCodeYear
Gradient-Based Learning Applied to Document RecognitionProceedings of the IEEE[mnist]1998
Learning Multiple Layers of Features from Tiny Images[cifar]2009
ImageNet: A Large-Scale Hierarchical Image DatabaseCVPR[ImageNet]2009
Learning Hybrid Image Templates (HIT) by Information ProjectionTPAMIAnimalFace2012
A Style-Based Generator Architecture for Generative Adversarial NetworksCVPRFFHQ2019
StarGAN v2: Diverse Image Synthesis for Multiple DomainsCVPRAFHQ2020
Automated Flower Classification over a Large Number of Classes102Flowers2008
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many MappingsICMLCartoonSet2018
Anime Faces Sourced from Safebooru Resized to 256x256KaggleAnimeFace
Facial Expressions of Manga (Japanese Comic) Character FacesKaggleMangaExpressions
Open-Source Cartoon DatasetKagglephoto2cartoon
Simpsons Faces: A Lot of Images of Your Favourite CharactersKaggleSimpsonsFaces
Bitmoji FacesKaggleBitmojiFaces
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationAAHQ2021
:heart: Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data AloneICCVFaceSynthetics2021
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD ModelsCVPRchair2014
A Large-Scale Car Dataset for Fine-Grained Categorization and VerificationCVPR[CompCars]arXiv. 2015
The ArtBench Dataset: Benchmarking Generative Models with Artworks2022
DwNet: Dense Warp-Based Network for Pose-Guided Human Video GenerationBMVCFashion2019
MoCoGAN: Decomposing Motion and Content for Video GenerationCVPR[Tai-Chi]2018
Text2Human: Text-Driven Controllable Human Image GenerationACM Transactions on Graphics (TOG)DeepFashion-MultiModal2022

alias (ref)

Texture

Tiles

GAN application

Image-to-Image Translation

Style transfer

Metric & perceptual loss

Spectrum

Weakly Supervised Object Localization

Implicit Neural Representations

Energy

Flow

ChatGPT

Diffusion

Generation

TitleVenueCodeYear
Understanding Diffusion Models: A Unified PerspectivearXiv:2208.119702022
1 Deep Unsupervised Learning Using Nonequilibrium ThermodynamicsArXiv:1503.03585 [Cond-Mat, q-Bio, Stat]arXiv. 2015
2 Generative Modeling by Estimating Gradients of the Data DistributionNeurIPS2019
3 Denoising Diffusion Probabilistic ModelsarXiv:2006.11239 [cs, stat]diffusion, denoising-diffusion-pytorch2020
Denoising Diffusion Implicit ModelsICLR[DDIM]arXiv. 2021
Improved Denoising Diffusion Probabilistic ModelsArXiv:2102.09672 [Cs.LG]improved-diffusion2021
Score-Based Generative Modeling through Stochastic Differential EquationsICLR2021
35 steps Elucidating the Design Space of Diffusion-Based Generative ModelsArXiv:2206.00364 [Cs, Stat]k-diffusionarXiv. 2022
10 steps DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsArXiv:2206.00927 [Cs, Stat]dpm-solverarXiv. 2022
:heart: SDEdit: Image Synthesis and Editing with Stochastic Differential EquationsarXiv:2108.01073 [cs]SDEdit2021
D2C: Diffusion-Denoising Models for Few-Shot Conditional GenerationarXiv:2106.06819 [cs]2021
Label-Efficient Semantic Segmentation with Diffusion Modelsddpm-segmentation2021
Analog Bits: Generating Discrete Data Using Diffusion Models with Self-Conditioningbit-diffusion2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoisearXiv:2208.09392Cold-Diffusion-Models2022
Diffusion-GAN: Training GANs with DiffusionarXiv:2206.02262Diffusion-GAN2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANsICLRdenoising-diffusion-gan2022
Score-Based Generative Modeling in Latent SpaceNeurIPSLSGMarXiv. 2021
Compositional Visual Generation with Composable Diffusion ModelsECCVComposable-DiffusionarXiv. 2022
Accelerating Score-Based Generative Models with Preconditioned Diffusion SamplingECCVPDS2022
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCVPRdiffae2022
Cascaded Diffusion Models for High Fidelity Image GenerationarXiv:2106.152822021

Inversion

Text-to-image

Image_to_image

3D

Detection

3D & NeRF

Sine

INR

3D & NeRF GANs

TitleVenueCodeYearCite
:heavy_check_mark: HoloGAN: Unsupervised Learning of 3D Representations from Natural ImagesICCV2019
BlockGAN: Learning 3D Object-Aware Scene Representations from Unlabelled ImagesNeurIPS2020
:heavy_check_mark: GRAF: Generative Radiance Fields for 3D-Aware Image SynthesisarXiv:2007.02442 [cs]2021
:heavy_check_mark: Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image SynthesisarXiv:2012.00926 [cs]pi-GAN202119
:heavy_check_mark: GIRAFFE: Representing Scenes as Compositional Generative Neural Feature FieldsCVPRgiraffe2021
:heavy_check_mark: GIRAFFE HD: A High-Resolution 3D-Aware Generative ModelCVPR2022
:heart: StyleNeRF: A Style-Based 3D-Aware Generator for High-Resolution Image SynthesisarXiv:2110.08985 [cs, stat]2021
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance FieldsarXiv:2103.17269 [cs]2021
:heavy_check_mark: GNeRF: GAN-Based Neural Radiance Field without Posed CameraarXiv:2103.15606 [cs]gnerf2021
:heart: Unconstrained Scene Generation with Locally Conditioned Radiance FieldsICCVml-gsn2021
Learning Object-Compositional Neural Radiance Field for Editable Scene RenderingICCV2021
:heavy_check_mark: A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image SynthesisNeurIPS2021
:heavy_check_mark: Generative Occupancy Fields for 3D Surface-Aware Image SynthesisNeurIPS2021
:heavy_check_mark: Efficient Geometry-Aware 3D Generative Adversarial NetworksarXiv:2112.07945 [cs]eg3d2021
:heavy_check_mark: 3D-Aware Image Synthesis via Learning Structural and Textural RepresentationsarXiv:2112.10759 [cs]VolumeGAN2021
:heavy_check_mark: GRAM: Generative Radiance Manifolds for 3D-Aware Image GenerationarXiv:2112.08867 [cs]GRAM2021
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANsCVPR2022
:heavy_check_mark: Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular ImagesCVPR2022
:heavy_check_mark: Multi-View Consistent Generative Adversarial Networks for 3D-Aware Image SynthesisCVPRMVCGAN2022
:heavy_check_mark: FENeRF: Face Editing in Neural Radiance FieldsCVPRFENeRF2022
:heavy_check_mark: IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-Aware Portrait SynthesisarXiv:2205.155172022
:heavy_check_mark: EpiGRAF: Rethinking Training of 3D GANsArXiv:2206.10535 [Cs]epigrafarXiv. 2022
https://github.com/rethinking-3d-gans/code
:heart: Generative Multiplane Images: Making a 2D GAN 3D-AwareECCVml-gmpiarXiv. 2022
GAUDI: A Neural Architect for Immersive 3D Scene GenerationArXiv:2207.13751 [Cs]ml-gaudiarXiv. 2022
Deep Deformable 3D Caricatures with Learned Shape ControlSIGGRAPHDeepDeformable3DCaricaturesVancouver BC Canada: ACM. 2022
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image SynthesisECCVSURF-GANarXiv. 2022
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields TranslationarXiv:2202.13162 [cs]2022
[Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation]TT-GNeRF

Diffusion

NeRF large scene

NeRF

TitleVenueCodeYearCite
Ray Tracing Volume DensitiesSIGGRAPH1984
:white_check_mark: NeRF: Representing Scenes as Neural Radiance Fields for View SynthesisECCVnerf-pytorch2020
:white_check_mark: NeRF--: Neural Radiance Fields Without Known Camera ParametersarXiv:2102.07064 [cs]nerfmm, improved-nerfmm2021
:white_check_mark: NeRF++: Analyzing and Improving Neural Radiance FieldsarXiv:2010.07492 [cs]nerfplusplus2020
:white_check_mark: FastNeRF: High-Fidelity Neural Rendering at 200FPSarXiv:2103.10380 [cs]2021
:white_check_mark: KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPsICCV2021
Plenoxels: Radiance Fields without Neural NetworksarXiv:2112.05131 [cs]svox22021
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-ThroughsarXiv:2112.10703 [cs]mega-nerf2021
:heart: Neural Sparse Voxel FieldsarXiv:2007.11571 [cs]NSVF2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsICCV2021
:heart: Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance FieldsarXiv:2111.12077 [cs.CV]2021
:heart: Neural Actor: Neural Free-View Synthesis of Human Actors with Pose ControlarXiv:2106.02019 [cs]2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encodinginstant-ngp
:heart: Point-NeRF: Point-Based Neural Radiance FieldsarXiv:2201.08845 [cs]pointnerf2022
MoFaNeRF: Morphable Facial Neural Radiance FieldarXiv:2112.02308 [cs]2021
Object-Centric Neural Scene Rendering2020
Semantic View Synthesis2020
NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild2021
MINE: Towards Continuous Depth MPI with NeRF for Novel View SynthesisarXiv:2103.14910 [cs]2021
:white_check_mark: CodeNeRF: Disentangled Neural Radiance Fields for Object CategoriesICCVcode-nerf2021
NeRF-SR: High-Quality Neural Radiance Fields Using Super-SamplingarXiv:2112.01759 [cs]2021
:heart: TensoRF: Tensorial Radiance FieldsarXiv:2203.09517 [cs]TensoRF2022
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance FieldsarXiv:2203.10821 [cs]2022
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance FieldsarXiv:2112.05139 [cs]2022
BARF: Bundle-Adjusting Neural Radiance FieldsarXiv:2104.06405 [cs]2021
Unified Implicit Neural StylizationarXiv:2204.01943 [cs]2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single ImagearXiv:2204.00928 [cs]2022
NeRF-Editing: Geometry Editing of Neural Radiance FieldsCVPRNeRF-Editing2022
PixelNeRF: Neural Radiance Fields from One or Few ImagesCVPRpixel-nerf2021
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance FieldsCVPRrefnerf2022

3D inversion

TitleVenueCodeYearCite
Unsupervised 3D Shape Completion through GAN InversionCVPR2021
3D GAN Inversion for Controllable Portrait Image AnimationArXiv:2203.13441 [Cs]arXiv. 2022
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields TranslationArXiv:2202.13162 [Cs]arXiv. 2022
[Monocular 3D Object Reconstruction with GAN Inversion]ECCV2022
[INeRF: Inverting Neural Radiance Fields for Pose Estimation] IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)inerf2021
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field InversionarXiv:2211.11674nerf-from-image2022

Dynamic

Voice

Hand

Hair

Loose garment

Rigging

TitleVenueCodeYearCite
:heart: [Learning Skeletal Articulations with Neural Blend Shapes]ACM Transactions on Graphicsneural-blend-shapes2021

Anime Body

TitleVenueCodeYear
Collaborative Neural Rendering Using Anime Character SheetsArXiv:2207.05378 [Cs]CoNRarXiv. 2022

Body

TitleVenueCodeYear
SMPL: A Skinned Multi-Person Linear ModelACM Trans. Graphics (Proc. SIGGRAPH Asia)2015
Expressive Body Capture: 3D Hands, Face, and Body from a Single ImageCVPR[SMPL-X]2019
AMASS: Archive of Motion Capture as Surface ShapesICCVAMASS2019
:heavy_check_mark: SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit ShapesICCV2021
:heavy_check_mark: Animatable Neural Radiance Fields for Modeling Dynamic Human BodiesICCVanimatable_nerf2021
Neural Actor: Neural Free-View Synthesis of Human Actors with Pose ControlSIGGRAPH Asia2021
:heavy_check_mark: Animatable Neural Radiance Fields from Monocular RGB VideosArXiv:2106.13629 [Cs]Anim-NeRFarXiv. 2021
VIBE: Video Inference for Human Body Pose and Shape EstimationCVPRVIBEarXiv. 2020
:heavy_check_mark: A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and PoseNeurIPSA-NeRFarXiv. 2021
HumanNeRF: Free-Viewpoint Rendering of Moving People from Monocular VideoCVPRhumannerf2022
:heart: The Power of Points for Modeling Humans in ClothingICCVPOP2021
:heart: Neural Point-Based Shape Modeling of Humans in Challenging ClothingInternational Conference on 3D Vision (3DV)SkiRT2022
StylePeople: A Generative Model of Fullbody Human AvatarsarXiv:2104.08363 [cs]2021
NPMs: Neural Parametric Models for 3D Deformable ShapesarXiv:2104.00702 [cs]2021
:heart: ICON: Implicit Clothed Humans Obtained from NormalsarXiv:2112.09127 [cs]ICON2022
:heart: GDNA: Towards Generative Detailed Neural AvatarsCVPR2022
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar NetworksCVPR2021
NeuralAnnot: Neural Annotator for 3D Human Mesh Training SetsarXiv:2011.11232 [cs]2022
:heart: PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopICCV2021
:heart: Structured Local Radiance Fields for Human Avatar ModelingCVPRarXiv. 2022
:heavy_check_mark: SelfRecon: Self Reconstruction Your Digital Avatar from Monocular VideoCVPRSelfReconarXiv. 2022
[ARAH: Animatable Volume Rendering of Articulated Human SDFs]ECCVarah2022
Neural Actor: Neural Free-View Synthesis of Human Actors with Pose ControlSIGGRAPH AsiaNeural_Actor_Main_CodearXiv. 2021
:heart: Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View SynthesisarXiv:2204.11798 [cs]gnr2022
:heart: NeuMan: Neural Human Radiance Field from a Single VideoECCVml-neuman2022
Surface-Aligned Neural Radiance Fields for Controllable 3D Human SynthesisCVPRsurface-aligned-nerfarXiv. 2022
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human ModelingECCVLoRD2022
TAVA: Template-Free Animatable Volumetric ActorsECCVtava2022
Fast-SNARF: A Fast Deformer for Articulated Neural Fieldsfast-snarf2022
InstantAvatar: Learning Avatars from Monocular Video in 60 SecondsarXiv:2212.10550InstantAvatar2022

Body Generation

Body from video

3DMM Face

3D FACE Avatars

Stylization

Face Style

Face Animation

Renderer & Regularization

TitleVenueCodeYear
Implicit Geometric Regularization for Learning ShapesICML[Eikonal]2020
Neural 3D Scene Reconstruction with the Manhattan-World AssumptionCVPRmanhattan_sdf2022
:heart: Differentiable Signed Distance Function RenderingTransactions on Graphics (Proceedings of SIGGRAPH)sdf2022
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-View ReconstructionNeuS2021
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete DataECCVsnes2022
:heart: Volume Rendering of Neural Implicit SurfacesarXiv:2106.12052 [cs]volsdf2021
Multiview Neural Surface Reconstruction by Disentangling Geometry and AppearanceNeurIPSidr2020
:heavy_check_mark: Multi-View Mesh Reconstruction With Neural Deferred ShadingCVPRneural-deferred-shading2022
:heart: IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric ImagesCVPRIRONarXiv. 2022
:heavy_check_mark: UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View ReconstructionICCVunisurf2021
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionArXiv:2206.006652022
Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields ReconstructionCVPRDirectVoxGOarXiv. 2022
Improved Direct Voxel Grid Optimization for Radiance Fields ReconstructionArXiv:2206.05085 [Cs]arXiv. 2022
Improved Surface Reconstruction Using High-Frequency DetailsArXiv:2206.07850 [Cs]arXiv. 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume RenderingCVPRInfoNeRFarXiv. 2022
Improving Neural Implicit Surfaces Geometry with Patch WarpingCVPRNeuralWarparXiv. 2022
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse ViewsECCVSparseNeuSarXiv. 2022
[NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing]ECCVNeuMesh2022
Neural Density-Distance FieldsECCVneddfarXiv. 2022
Neural 3D Reconstruction in the WildSIGGRAPHNeuralRecon-W2022
:heart: KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of KeypointsarXiv:2205.04992 [cs]KeypointNeRF2022
GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface ReconstructionInternational Conference on 3D Vision (3DV)go-surf2022

Material and lighting

TitleVenueCodeYear
NeILF: Neural Incident Light Field for Physically-Based Material EstimationECCVneilfarXiv. 2022
[NeRF for Outdoor Scene Relighting]ECCVNeRF-OSR2022

Motion

Shape generation

TitleVenueCodeYear
Learning Implicit Fields for Generative Shape ModelingarXiv:1812.02822 [cs]2019

SMPL estimation

Segmentation

Datasets

FLAME estimation

Dog estimation

TitleVenueCodeYear
[BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information]CVPRbarc_release2022

Panoptic

SDF

3D

Point Cloud

Stylization

TitleVenueCodeYear
Learning to Stylize Novel ViewsarXiv:2105.13509 [cs]stylescene2021

Datasets

3D-aware image synthesis (ref)

Face

Tools

Edit

Anime Face

3DMM

TitleVenueCodeYear
A Morphable Model for the Synthesis of 3D FacesProceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques[3DMM]SIGGRAPH ’99, USA: ACM Press/Addison-Wesley Publishing Co. 1999

Face

TitleVenueCodeYear
SketchHairSalon: Deep Sketch-Based Hair Image SynthesisarXiv:2109.07874 [cs]2021

Face Alignment

TitleVenueCodeYear
Face Alignment Across Large Poses: A 3D SolutionIEEE Transactions on Pattern Analysis and Machine Intelligence2019

Face Recognition

TitleVenueCodeYear
High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2015

Face swapping

3D

TitleVenueCodeYear
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the WildarXiv:1911.11130 [cs]unsup3d2020
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANsarXiv:2011.00844 [cs]GAN2Shape2021
A Geometric Analysis of Deep Generative Image Models and Its ApplicationsICLR2021
Lifting 2D StyleGAN for 3D-Aware Face GenerationCVPRLiftedGAN2021
Image GANs Meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural RenderingarXiv:2010.09125 [cs]2021
Neural 3D Mesh RendererCVPR2018
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face ReconstructionarXiv:2105.07474 [cs]2021
Inverting Generative Adversarial Renderer for Face ReconstructionCVPRStyleRenderer2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo CollectionarXiv:2106.07852 [cs]2021
Subdivision-Based Mesh Convolution NetworksarXiv:2106.02285 [cs]2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo CollectionCVPR2021
To Fit or Not to Fit: Model-Based Face Reconstruction and Occlusion Segmentation from Weak SupervisionarXiv:2106.09614 [cs]2021
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial NetworksarXiv:2106.13041 [cs, eess, stat]2021
DOVE: Learning Deformable 3D Objects by Watching VideosarXiv:2107.10844 [cs]2021
De-Rendering the World’s Revolutionary ArtefactsCVPR2021
Learning Generative Models of Textured 3D Meshes from Real-World ImagesICCV2021
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple ImagesICCV2021

DA

Data

CNN & BN

Light architecture

Antialiased CNNs

Architecture

Truncated — view the full README on GitHub.

Contributors

PeterouZh

123 commits