A growing curation of Text-to-3D, Diffusion-to-3D works.
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updated Sep 23, 2026
README
Awesome Text-to-3D 
The first curated list of Text-to-3D and Diffusion-to-3D research, heavily inspired by awesome-NeRF.
This README is intended to work as a fast research index:
- grouped by task and content type
- linked to BibTeX, project pages, and code when available
- updated incrementally as new papers and resources appear
- Citation count measures distinct papers elsewhere in this index that Semantic Scholar reports as citing an entry (refreshed 2026-09-23; 516 distinct works, 521/521 citation-backed rows resolved).
Overview
- Core categories: X-to-3D, 3D Editing, Avatars, Dynamic Content, World Models
- Reference sections: Datasets, Frameworks & Projects, Tutorial Videos
- Link legend:
citationpoints to BibTeX,sitepoints to the project page,codepoints to the implementation when public
Navigation
- 📚 Papers
- 🔗 Citation graph
- 🧊 X-to-3D
- ✏️ 3D Editing, Decomposition & Stylization
- 🧍 Avatar Generation and Manupilation
- 🎞️ Dynamic Content Generation
- 🌍 World Models
- 💾 Datasets
- 🛠️ Frameworks & Projects
- 📺 Tutorial Videos
- ✅ TODO
Papers :scroll:
X-to-3D
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VoxelTTO: Voxel-Aligned Feed-Forward 3D Gaussian Splatting with Test-Time Optimization, Yibin Zhao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions, Rinto Yagawa et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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IRIS: Implicit Rendering Matters for Pose-Free Novel View Synthesis, Wenyu Li et al., ACM MM 2026 | citation | site | code | ▲ citation count: 0
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3D Point Splatting for mmWave Radar Novel View Synthesis, Adnan Armouti et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ReconPlusGen: Injecting Reconstruction Prior into Multi-view 3D Generation through Noise Inversion and Modulation, Jiarui Liu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure Prompts, Qi Zhang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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View-Structured Conformal Prediction for 3D Gaussian Splatting, Junzheng Chu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AnimalLift: Reconstructing Animatable 3D Animals from a Single Image by Learning Canonical Shape, Texture, and Fur Maps, Chunyi Sun et al., SIGGRAPH Asia 2026 | citation | site | code | ▲ citation count: 0
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FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute, Hongchi Xia et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning, Muyu Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Reflection-aware Generative Novel View Synthesis, GeonU Kim et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Compact Neural Appearance Models for Efficient Gaussian Splatting, Florian Hahlbohm et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations, Denis M. Akola et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting, Qian Wang et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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GridFlow: Structured Latent Flow for Seamless City-Scale 3D Point Cloud Generation, Xinyu Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Dynamic-Robust Photometric-Semantic Reconstruction for Open-Vocabulary 3D Scene Understanding, Boyu Cai et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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LightFuse: Relightable Interactive Gaussian Scene Reconstruction via Multi-Scan Fusion and 2D Gaussian Ray Tracing, Haonan Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views, Giuseppe Stracquadanio et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots, Yongho Kim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Luce: Relightable Gaussians for 3D Asset Generation, Mayank Singh et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image, Zefan Tian et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation, Yumeng He et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ExMesh++: From Multi-View Images to Relightable UV-PBR Mesh Assets via Topology-Adaptive Reconstruction and Decomposition, Chuanjin Fan et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors, Khiem Vuong et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction, Chuanjin Fan et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion, Bowen Cui et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MultiCube: Compositional 3D Generation With Part-Level Semantic and Spatial Control, Ava Pun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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View-Adaptive Renderer for View-Consistent 2D-to-3D Generation, U-Chae Jun et al., Multimedia Systems 2026 | citation | site | code | ▲ citation count: 0
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FlexSplat: Flexible Feed-Forward 3D Gaussian Splatting without Point Cloud Correspondence, Amir Sabbaghziarani et al., BMVC 2026 | citation | site | code | ▲ citation count: 0
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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding, Lucy Lin et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing, Junliang Ye et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Meshy T2: Fast Native Mesh Generation with Flow Matching, Jiale Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Single Image to Textured 3D Object Generation in Frequency Domain: From Theory to Pipeline, Qisen Wang et al., IJCV 2026 | citation | site | code | ▲ citation count: 0
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Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation, Jian Huang et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction, Dasong Gao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency, Andreas Meuleman et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos, Ziren Gong et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation, Eungjune Shim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects, Tahmina Khanam et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ThinkBLOX: 3D Indoor Scene Generation with Progressive Reasoning, Yuan Xiao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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UniPhysGen: Unified Physical Grounding for Simulation-Ready 3D Assets, Xian Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Glob3R: Global Structure-from-Motion with 3D Foundation Models, Junyuan Deng et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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StereoSplat+: Feed-Forward Stereo Gaussian Splatting with Diffusion-Assisted Progressive Inference, Zihua Liu et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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Nexus: Native Mesh Generation with Diffusion, Hanxiao Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation, Duy Cao et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Printing the Underdetermined: Materializing Multi-solutionness in Figurative Paintings, Yutao Ming et al., PACMCGIT 2026 | citation | site | code | ▲ citation count: 0
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UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image, Mohamed El Amine Boudjoghra et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views, Mijin Yoo et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design, Yiyun Fei et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PRISM: Feed-Forward Single-Image 3D Reconstruction via Geometric Warp-Residual Modeling, Zhijie Zheng et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models, Guangzhao He et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching, Tuan Duc Ngo et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields, Deniz Sayin Mercadier et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image, Xiaoxuan Ma et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction, Katharina Schmid et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generation, Hanxiao Sun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects, Ziang Cao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Articraft: An Agentic System for Scalable Articulated 3D Asset Generation, Matt Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 3
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DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion, Yuhan Ping et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation, Baicheng Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 2
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RelaxFlow: Text-Driven Amodal 3D Generation, Jiayin Zhu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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SceneReVis: A Self-Reflective Vision-Grounded Framework for 3D Indoor Scene Synthesis via Multi-turn RL, Yang Zhao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming, Jisheng Chu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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GeoDiff3D: Self-Supervised 3D Scene Generation with Geometry-Constrained 2D Diffusion Guidance, Haozhi Zhu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AnchoredDream: Zero-Shot 360{\deg} Indoor Scene Generation from a Single View via Geometric Grounding, Runmao Yao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning, Shaofeng Yin et al., Arxiv 2026 | citation | site | code | ▲ citation count: 5
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UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement, Tanghui Jia et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Native and Compact Structured Latents for 3D Generation, Jianfeng Xiang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 23
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Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation, Yiwen Tang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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MeshRipple: Structured Autoregressive Generation of Artist-Meshes, Junkai Lin et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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SAM 3D: 3Dfy Anything in Images, SAM 3D Team et al., Arxiv 2025 | citation | site | code | ▲ citation count: 15
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FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion, Chuhao Chen et al., Arxiv 2025 | citation | site | code | ▲ citation count: 5
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Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets, Jiashi Feng et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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Blended Point Cloud Diffusion for Localized Text-guided Shape Editing}, Etai Sella et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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FlashWorld: High-quality 3D Scene Generation within Seconds, Jinyang Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image, Yang, Yuxiao et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation, Sherwin Bahmani et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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Dream3DAvatar: Text-Controlled 3D Avatar Reconstruction from a Single Image, Gaofeng Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation, Biwen Lei et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds, Bingquan Dai et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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LL3M: Large Language 3D Modelers, Sining Lu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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BrepDiff: Single-stage B-rep Diffusion Model, Mingi Lee et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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PhysX-3D: Physical-Grounded 3D Asset Generation, Giang Cao et al., Arxiv 2025 | citation | site | code | ▲ citation count: 7
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LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS, Wanhua Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion, Fangfu Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Shape-for-Motion: Precise and Consistent Video Editing with 3D Proxy, Yuhao Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion, Yansong Qu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models, Donggoo Kang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence, Xinjie Wang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images, Juheon Hwang et al., Multimedia Systems 2025 | citation | site | code | ▲ citation count: 0
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ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding, Junliang Ye et al., Arxiv 2023 | citation | site | code | ▲ citation count: 7
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Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention, Shuang Wu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 15
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Constructing a 3D Town from a Single Image, Kaizhi Zheng et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits, Nail Ibrahimli et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets, Weiyu Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 9
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Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting, Feng Yang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis, Michal Geyer et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation, Michal Geyer et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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TesserAct: Learning 4D Embodied World Models, Haoyu Zhen et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Art3D: Training-Free 3D Generation from Flat-Colored Illustration, Xiaoyan Cong et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Generating 360° Video is What You Need For a 3D Scene, Zhaoyang Zhang et al., SIGGRAPH Asia 2025 | citation | site | code | ▲ citation count: 0
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ExScene: Free-View 3D Scene Reconstruction with Gaussian Splatting from a Single Image, Tianyi Gong et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs, Xianglong He et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data, Zhiyuan Ma et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Stable Virtual Camera: Generative View Synthesis with Diffusion Models, Jensen Zhou et al., Arxiv 2025 | citation | site | code | ▲ citation count: 10
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Bolt3D: Generating 3D Scenes in Seconds, Stanislaw Szymanowicz et al., Arxiv 2025 | citation | site | code | ▲ citation count: 10
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Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images, Tianhao Wu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 7
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PBR3DGen: A VLM-guided Mesh Generation with High-quality PBR Texture, Xiaokang Wei et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior, Zichen Tang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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I2V3D: Controllable image-to-video generation with 3D guidance, Zhiyuan Zhang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation, Jiantao Lin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Geometry-Aware Diffusion Models for Multiview Scene Inpainting, Ahmad Salimi et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image, Zilong Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 8
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TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models, Yangguang Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 29
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Joint Reconstruction of Spatially-Coherent and Realistic Clothed Humans and Objects from a Single Image, Ayushi Dutta et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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ConsistentDreamer: View-Consistent Meshes Through Balanced Multi-View Gaussian Optimization, Onat Şahin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Consistent Flow Distillation for Text-to-3D Generation, Runjie Yan et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images, Zixuan Huang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 4
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Wonderland: Navigating 3D Scenes from a Single Image, Hanwen Liang Yu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 12
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Turbo3D: Ultra-fast Text-to-3D Generation, Hanzhe Hu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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Direct and Explicit 3D Generation from a Single Image, Haoyu Wu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Edify 3D: Scalable High-Quality 3D Asset Generation, NVIDIA et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion, Wenqiang Sun et al., Arxiv 2024 | citation | site | code | ▲ citation count: 15
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GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation, Yushi Lan et al., Arxiv 2024 | citation | site | code | ▲ citation count: 4
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DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model, Jingxiang Sun et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models, Jiangzhi Bao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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SceneCraft: Layout-Guided 3D Scene Generation, Xiuyu Yang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness, Chenming Zhu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion, Zhaoxi Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 20
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Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion, Zhenwei Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 6
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Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models, Haibo Yang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification, Phu Pham et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation, Slava Elizarov et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model, Minghua Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow, Hangyu Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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DreamInit: A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness, Lutao Jiang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling, Dong Huo et al., Arxiv 2024 | citation | site | code | ▲ citation count: 7
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Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle, Zhenyu Tang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions, Haiyang Zhou et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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PlacidDreamer: Advancing Harmony in Text-to-3D Generation, Shuo Huang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models, Bowen Zhang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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Meta 3D Gen, Raphael Bensadoun et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation, Zhiyuan Ma et al., ECCV 2024 | citation | site | code | ▲ citation count: 3
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HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model, Hieu T. Nguyen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals, Sandeep Mishra et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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L4GM: Large 4D Gaussian Reconstruction Model, Jiawei Ren et al., Arxiv 2024 | citation | site | code | ▲ citation count: 8
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WonderWorld: Interactive 3D Scene Generation from a Single Image, Hong-Xing Yu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 18
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Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion, Hao Wen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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Tetrahedron Splatting for 3D Generation, Chun Gu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner, Weiyu Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 15
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LDM: Large Tensorial SDF Model for Textured Mesh Generation, Rengan Xie et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention, Peng Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 12
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Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching, Xingyu Miao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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CAT3D: Create Anything in 3D with Multi-View Diffusion Models, Ruiqi Gao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 38
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CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding, Guibiao Liao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior, Yiqian Wu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion, Jaidev Shriram et al., Arxiv 2024 | citation | site | code | ▲ citation count: 14
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InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models, Jiale Xu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 49
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ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors, Tianxin Huang et al., ICLR 2025 | citation | site | code | ▲ citation count: 0
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ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors, Tianxin Huang et al., ICLR 2025 | citation | site | code | ▲ citation count: 0
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Hash3D: Training-free Acceleration for 3D Generation, Xingyi Yang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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PointInfinity: Resolution-Invariant Point Diffusion Models, Zixuan Huang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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The More You See in 2D, the More You Perceive in 3D, Xinyang Han et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling, Haoran Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling, Bowen Zhang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction, Taoran Yi et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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TC4D: Trajectory-Conditioned Text-to-4D Generation, Sherwin Bahmani et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation, Yang Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion, Yuanze Lin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis, Kevin Xie et al., Arxiv 2024 | citation | site | code | ▲ citation count: 11
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GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation, Yinghao Xu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 34
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DreamReward: Text-to-3D Generation with Human Preference, Junliang Ye et al., ECCV 2024 | citation | site | code | ▲ citation count: 10
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GVGEN: Text-to-3D Generation with Volumetric Representation, Xianglong He et al., Arxiv 2024 | citation | site | code | ▲ citation count: 10
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SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion, Vikram Volet et al., Arxiv 2024 | citation | site | code | ▲ citation count: 41
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Generic 3D Diffusion Adapter Using Controlled Multi-View Editing, Hansheng Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 9
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BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis, Lutao Jiang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding, Pengkun Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 4
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Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation Fangfu Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation, Fangfu Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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V3D: Video Diffusion Models are Effective 3D Generators Zilong Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 11
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CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model Zhengyi Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 40
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TripoSR: Fast 3D Object Reconstruction from a Single Image Dmitry Tochilkin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 27
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MVD2: Efficient Multiview 3D Reconstruction for Multiview Diffusion, Xin-Yang Zheng et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability, Xuelin Qian et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects, Yutaro Yamada et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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IM-3D: : Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation, Luke Melas-Kyriazi et al., Arxiv 2024 | citation | site | code | ▲ citation count: 13
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LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation, Jiaxiang Tang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 83
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AToM: Amortized Text-to-Mesh using 2D Diffusion, Guocheng Qian et al., Arxiv 2024 | citation | ▲ citation count: 7
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Topology-Aware Latent Diffusion for 3D Shape Generation, Jiangbei Hu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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AGG: Amortized Generative 3D Gaussians for Single Image to 3D, Dejia Xu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 10
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SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity, Peihao Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D, Sangmin Woo et al., Arxv 2023 | citation | site | code | ▲ citation count: 3
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Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks, Christian Simon et al., Arxv 2023 | citation | site | code | ▲ citation count: 0
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Text2Immersion: Generative Immersive Scene with 3D Gaussians, Hao Ouyang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 8
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Stable Score Distillation for High-Quality 3D Generation, Boshi Tang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 5
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SceneWiz3D: Towards Text-guided 3D Scene Composition, Qihang Zhang et al., CVPR 2024 | citation | site | code | ▲ citation count: 11
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CAD: Photorealistic 3D Generation via Adversarial Distillation, Ziyu Wan et al., Arxiv 2023 | citation | site | code | ▲ citation count: 4
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EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion, Zehuan Huang et al., CVPR 2024 | citation | site | code | ▲ citation count: 7
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Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors, Lihe Ding et al., Arxiv 2023 | citation | site | code | ▲ citation count: 5
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Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion, Kira Prabhu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D, Pengsheng Guo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation, Yiwei Ma et al., Arxiv 2023 | citation | site | code | ▲ citation count: 2
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Adversarial Diffusion Distillation, Axel Sauer et al., Arxiv 2023 | citation | site | code | ▲ citation count: 4
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DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling, Linqi Zhou et al., Arxiv 2023| citation | site | code | ▲ citation count: 3
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RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D, Lingteng Qiu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 25
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MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers, Yawar Siddiqui et al., Arxiv 2023| citation | site | code | ▲ citation count: 21
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LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching, Yixun Liang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 41
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MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture, Lincong Feng et al., Arxiv 2023 | citation | site | code | ▲ citation count: 0
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One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion, Minghua Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 38
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LRM: Large Reconstruction Model for Single Image to 3D, Yicong Hong et al., Arxiv 2023 | citation | site | code | ▲ citation count: 91
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Text-to-3D with classifier score distillation, Xin Yu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 23
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HyperFields: Towards Zero-Shot Generation of NeRFs from Text, Sudarshan Babu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 3
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Noise-Free Score Distillation, Oren Katzir et al., Arxiv 2023 | citation | site | code | ▲ citation count: 20
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DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior, Jingxiang Sun et al., Arxiv 2023 | citation | site | code | ▲ citation count: 33
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Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model, Ruoxi Shi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 62
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Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping, Zijie Pan et al., Arxiv 2023 | citation | site | code | ▲ citation count: 3
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SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D, Weiyu Li et al., Arxiv 2023 | citation | site | code | ▲ citation count: 32
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GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors,Taoran Yi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 35
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Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors, Yukang Lin et al., Arxiv 2023 | citation | site | code | ▲ citation count: 13
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation, Jiaxiang Tang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 91
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Text-to-3D using Gaussian Splatting, Zilong Chen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 40
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Progressive Text-to-3D Generation for Automatic 3D Prototyping, Han Yi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 2
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Large-Vocabulary 3D Diffusion Model with Transformer, Ziang Cao et al., Arxiv 2023 | citation | site | code | ▲ citation count: 10
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SyncDreamer: Generating Multiview-consistent Images from a Single-view Image, Yuan Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 81
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MVDream: Multi-view Diffusion for 3D Generation, Yichun Shi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 128
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PointLLM: Empowering Large Language Models to Understand Point Clouds, Xu Runsen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 3
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IT3D: Improved Text-to-3D Generation with Explicit View Synthesis, Yiwen Chen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 16
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RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects, Sascha Kirch et al., Arxiv 2023 | citation | site | code | ▲ citation count: 0
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Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation, Chaohui Yu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 9
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Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation, Aditya Sanghi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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AutoDecoding Latent 3D Diffusion Models, Evangelos Ntavelis et al., NeurIPS 2023 | citation | site | code | ▲ citation count: 19
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MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, Shitao Tang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 29
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3D-LLM: Injecting the 3D World into Large Language Models, Yining Hong et al., Arxiv 2023 | citation | site | code | ▲ citation count: 7
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Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors, Guocheng Qian et al., Arxiv 2023 | citation | site | code | ▲ citation count: 79
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Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation, Zibo Zhao et al., Arxiv 2023 | citation | site | code | ▲ citation count: 25
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One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization, Minghua Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 89
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Cap3D: Scalable 3D Captioning with Pretrained Models, Tiange Luo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 19
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InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions, Jiale Xu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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ATT3D: Amortized Text-to-3D Object Synthesis, Jonathan Lorraine et al., ICCV 2023 | citation | site | code | ▲ citation count: 28
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DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views, Paul Yoo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 10
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HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance, Junzhe Zhu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 17
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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation, Zhengyi Wang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 165
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Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models, Xingqian Xu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 0
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Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields, Jingbo Zhang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 21
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High-fidelity 3D Face Generation from Natural Language Descriptions, Menghua Wu et al., CVPR 2023 | citation | site | code | ▲ citation count: 3
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Shap-E: Generating Conditional 3D Implicit Functions, Heewoo Jun et al., Arxiv 2023 | citation | site | code | ▲ citation count: 68
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TextMesh: Generation of Realistic 3D Meshes From Text Prompts, Christina Tsalicoglou Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 27
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Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction, Hansheng Chen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 28
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Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond, Mohammadreza Armandpour et al., Arxiv 2023 | citation | site | code | ▲ citation count: 27
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Generative Novel View Synthesis with 3D-Aware Diffusion Models, Eric R. Chan et al., Arxiv 2023 | citation | site | code | ▲ citation count: 38
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PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion, Gwanghyun Kim et al., ICCV 2023 | citation | site | code | ▲ citation count: 0
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3D-aware Image Generation using 2D Diffusion Models, Jianfeng Xiang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 12
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Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior, Junshu Tang et al., ICCV 2023 | citation | site | code | ▲ citation count: 75
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DreamBooth3D: Subject-Driven Text-to-3D Generation, Amit Raj et al., ICCV 2023 | citation | site | code | ▲ citation count: 39
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Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models, Lukas Höllein et al., Arxiv 2023 | citation | site | code | ▲ citation count: 32
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Zero-1-to-3: Zero-shot One Image to 3D Object, Ruoshi Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 170
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3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process, Yuhan Li et al., CVPR 2023 | citation | site | code | ▲ citation count: 3
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LERF: Language Embedded Radiance Fields, Justin Kerr et al., Arxiv 2023 | citation | site | code | ▲ citation count: 8
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3DFuse: Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation, Junyoung Seo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 32
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GECCO: Geometrically-Conditioned Point Diffusion Models, Michał J. Tyszkiewicz et al., ICCV 2023 | citation | site | code | ▲ citation count: 5
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Monocular Depth Estimation using Diffusion Models, Saurabh Saxena et al., Arxiv 2023 | citation | site | code | ▲ citation count: 2
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DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models, Jamie Wynn et al., CVPR 2023 | citation | site | code | ▲ citation count: 1
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RealFusion: 360° Reconstruction of Any Object from a Single Image, Luke Melas-Kyriazi et al., CVPR 2023 | citation | site | code | ▲ citation count: 54
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NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion, Jiatao Gu et al., ICML 2023 | citation | site | code | ▲ citation count: 32
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TEXTure: Text-Guided Texturing of 3D Shapes, Elad Richardson Chen et al., SIGGRAPH 2023 | citation | site | code | ▲ citation count: 58
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SceneScape: Text-Driven Consistent Scene Generation, Rafail Fridman et al., Arxiv 2023 | citation | site | code | ▲ citation count: 20
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Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models, Jiale Xu et al., Arxiv 2022 | citation | site | code | ▲ citation count: 27
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Point-E: A System for Generating 3D Point Clouds from Complex Prompts, Alex Nichol et al., Arxiv 2022 | citation | site | code | ▲ citation count: 114
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SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation, Yen-Chi Cheng et al., CVPR 2023 | citation | site | code | ▲ citation count: 46
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NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors, Congyue Deng et al., CVPR 2023 | citation | site | code | ▲ citation count: 33
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SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction, Zhizhuo Zho et al., CVPR 2023 | citation | site | code | ▲ citation count: 29
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Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation, Haochen Wang et al., CVPR 2023 | citation | site | code | ▲ citation count: 122
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NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views, Dejia Xu et al., Arxiv 2022 | citation | site | code | ▲ citation count: 30
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DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model, Gwanghyun Kim et al., CVPR 2023 | citation | site | code | ▲ citation count: 2
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Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions, Gene Chou et al., Arxiv 2023 | citation | site | code | ▲ citation count: 11
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Magic3D: High-Resolution Text-to-3D Content Creation, Chen-Hsuan Linet et al., CVPR 2023 | citation | site | code | ▲ citation count: 200
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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures, Gal Metzer et al., Arxiv 2023 | citation | site | code | ▲ citation count: 99
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Novel View Synthesis with Diffusion Models, Daniel Watson et al., Arxiv 2022 | citation | site | code | ▲ citation count: 49
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Novel View Synthesis with Diffusion Models, Daniel Watson et al., ICLR 2023 | citation | site | code | ▲ citation count: 49
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PureCLIPNERF: Understanding Pure CLIP Guidance for Voxel Grid NeRF Models, Han-Hung Lee et al., Arxiv 2022 | citation | site | code | ▲ citation count: 15
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DreamFusion: Text-to-3D using 2D Diffusion, Ben Poole et al., ICLR 2023 | citation | site | code | ▲ citation count: 293
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CLIP-Mesh: Generating textured meshes from text using pretrained image-text models, Nasir Khalid et al., Arxiv 2023 | citation | site | code | ▲ citation count: 72
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Zero-Shot Text-Guided Object Generation with Dream Fields, Ajay Jain et al., CVPR 2022 | citation | site | code | ▲ citation count: 126
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CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation, Aditya Sanghi et al., Arxiv 2021 | citation | site | code | ▲ citation count: 59
3D Editing, Decomposition & Stylization
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LiteTex-GS: Fast and Lightweight Texturing for Gaussian Splatting, Zhiwei Li et al., Pacific Graphics 2026 (Computer Graphics Forum) | citation | site | code | ▲ citation count: 0
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Physically Based Rendering in the Latent Space, Vuk Radovanovic et al., Pacific Graphics 2026 (Computer Graphics Forum) | citation | site | code | ▲ citation count: 0
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GS-PI: An Optimization-Decoupled Appearance Decomposition Approach for Generating PBR Gaussian Assets, Jieting Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting, Hejun Wang et al., SIGGRAPH Asia 2026 | citation | site | code | ▲ citation count: 0
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PointGT: Simultaneous Geometry and Texture Editing for Point-Based Representations, Yanshu Zhang et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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PoseAdapter: Dual-Stream 2.5D Controllable Image Generation for Complex Multi-Object Scenes, Yufeng Chi et al., ACM MM 2026 | citation | site | code | ▲ citation count: 0
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GeoCache: Training-Free Acceleration of Multi-View Texture Diffusion via Geometric Delta Transport, Haotang Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization, Siwoo Lim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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Dynamic Inverse Rendering for Enhanced Material-Lighting Decomposition, Raza Yunus et al.,
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A growing curation of Text-to-3D, Diffusion-to-3D works.
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updated Sep 23, 2026
README
Awesome Text-to-3D
The first curated list of Text-to-3D and Diffusion-to-3D research, heavily inspired by awesome-NeRF.
This README is intended to work as a fast research index:
- grouped by task and content type
- linked to BibTeX, project pages, and code when available
- updated incrementally as new papers and resources appear
- Citation count measures distinct papers elsewhere in this index that Semantic Scholar reports as citing an entry (refreshed 2026-09-23; 516 distinct works, 521/521 citation-backed rows resolved).
Overview
- Core categories: X-to-3D, 3D Editing, Avatars, Dynamic Content, World Models
- Reference sections: Datasets, Frameworks & Projects, Tutorial Videos
- Link legend:
citationpoints to BibTeX,sitepoints to the project page,codepoints to the implementation when public
Navigation
- 📚 Papers
- 🔗 Citation graph
- 🧊 X-to-3D
- ✏️ 3D Editing, Decomposition & Stylization
- 🧍 Avatar Generation and Manupilation
- 🎞️ Dynamic Content Generation
- 🌍 World Models
- 💾 Datasets
- 🛠️ Frameworks & Projects
- 📺 Tutorial Videos
- ✅ TODO
Papers :scroll:
X-to-3D
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VoxelTTO: Voxel-Aligned Feed-Forward 3D Gaussian Splatting with Test-Time Optimization, Yibin Zhao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions, Rinto Yagawa et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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IRIS: Implicit Rendering Matters for Pose-Free Novel View Synthesis, Wenyu Li et al., ACM MM 2026 | citation | site | code | ▲ citation count: 0
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3D Point Splatting for mmWave Radar Novel View Synthesis, Adnan Armouti et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ReconPlusGen: Injecting Reconstruction Prior into Multi-view 3D Generation through Noise Inversion and Modulation, Jiarui Liu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure Prompts, Qi Zhang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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View-Structured Conformal Prediction for 3D Gaussian Splatting, Junzheng Chu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AnimalLift: Reconstructing Animatable 3D Animals from a Single Image by Learning Canonical Shape, Texture, and Fur Maps, Chunyi Sun et al., SIGGRAPH Asia 2026 | citation | site | code | ▲ citation count: 0
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FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute, Hongchi Xia et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning, Muyu Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Reflection-aware Generative Novel View Synthesis, GeonU Kim et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Compact Neural Appearance Models for Efficient Gaussian Splatting, Florian Hahlbohm et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations, Denis M. Akola et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting, Qian Wang et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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GridFlow: Structured Latent Flow for Seamless City-Scale 3D Point Cloud Generation, Xinyu Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Dynamic-Robust Photometric-Semantic Reconstruction for Open-Vocabulary 3D Scene Understanding, Boyu Cai et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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LightFuse: Relightable Interactive Gaussian Scene Reconstruction via Multi-Scan Fusion and 2D Gaussian Ray Tracing, Haonan Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views, Giuseppe Stracquadanio et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots, Yongho Kim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Luce: Relightable Gaussians for 3D Asset Generation, Mayank Singh et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image, Zefan Tian et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation, Yumeng He et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ExMesh++: From Multi-View Images to Relightable UV-PBR Mesh Assets via Topology-Adaptive Reconstruction and Decomposition, Chuanjin Fan et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors, Khiem Vuong et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction, Chuanjin Fan et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion, Bowen Cui et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MultiCube: Compositional 3D Generation With Part-Level Semantic and Spatial Control, Ava Pun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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View-Adaptive Renderer for View-Consistent 2D-to-3D Generation, U-Chae Jun et al., Multimedia Systems 2026 | citation | site | code | ▲ citation count: 0
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FlexSplat: Flexible Feed-Forward 3D Gaussian Splatting without Point Cloud Correspondence, Amir Sabbaghziarani et al., BMVC 2026 | citation | site | code | ▲ citation count: 0
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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding, Lucy Lin et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing, Junliang Ye et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Meshy T2: Fast Native Mesh Generation with Flow Matching, Jiale Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Single Image to Textured 3D Object Generation in Frequency Domain: From Theory to Pipeline, Qisen Wang et al., IJCV 2026 | citation | site | code | ▲ citation count: 0
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Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation, Jian Huang et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction, Dasong Gao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency, Andreas Meuleman et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos, Ziren Gong et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation, Eungjune Shim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects, Tahmina Khanam et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ThinkBLOX: 3D Indoor Scene Generation with Progressive Reasoning, Yuan Xiao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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UniPhysGen: Unified Physical Grounding for Simulation-Ready 3D Assets, Xian Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Glob3R: Global Structure-from-Motion with 3D Foundation Models, Junyuan Deng et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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StereoSplat+: Feed-Forward Stereo Gaussian Splatting with Diffusion-Assisted Progressive Inference, Zihua Liu et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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Nexus: Native Mesh Generation with Diffusion, Hanxiao Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation, Duy Cao et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Printing the Underdetermined: Materializing Multi-solutionness in Figurative Paintings, Yutao Ming et al., PACMCGIT 2026 | citation | site | code | ▲ citation count: 0
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UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image, Mohamed El Amine Boudjoghra et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views, Mijin Yoo et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design, Yiyun Fei et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PRISM: Feed-Forward Single-Image 3D Reconstruction via Geometric Warp-Residual Modeling, Zhijie Zheng et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models, Guangzhao He et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching, Tuan Duc Ngo et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields, Deniz Sayin Mercadier et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image, Xiaoxuan Ma et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction, Katharina Schmid et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generation, Hanxiao Sun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects, Ziang Cao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Articraft: An Agentic System for Scalable Articulated 3D Asset Generation, Matt Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 3
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DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion, Yuhan Ping et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation, Baicheng Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 2
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RelaxFlow: Text-Driven Amodal 3D Generation, Jiayin Zhu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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SceneReVis: A Self-Reflective Vision-Grounded Framework for 3D Indoor Scene Synthesis via Multi-turn RL, Yang Zhao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming, Jisheng Chu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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GeoDiff3D: Self-Supervised 3D Scene Generation with Geometry-Constrained 2D Diffusion Guidance, Haozhi Zhu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AnchoredDream: Zero-Shot 360{\deg} Indoor Scene Generation from a Single View via Geometric Grounding, Runmao Yao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning, Shaofeng Yin et al., Arxiv 2026 | citation | site | code | ▲ citation count: 5
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UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement, Tanghui Jia et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Native and Compact Structured Latents for 3D Generation, Jianfeng Xiang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 23
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Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation, Yiwen Tang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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MeshRipple: Structured Autoregressive Generation of Artist-Meshes, Junkai Lin et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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SAM 3D: 3Dfy Anything in Images, SAM 3D Team et al., Arxiv 2025 | citation | site | code | ▲ citation count: 15
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FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion, Chuhao Chen et al., Arxiv 2025 | citation | site | code | ▲ citation count: 5
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Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets, Jiashi Feng et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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Blended Point Cloud Diffusion for Localized Text-guided Shape Editing}, Etai Sella et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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FlashWorld: High-quality 3D Scene Generation within Seconds, Jinyang Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image, Yang, Yuxiao et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation, Sherwin Bahmani et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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Dream3DAvatar: Text-Controlled 3D Avatar Reconstruction from a Single Image, Gaofeng Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation, Biwen Lei et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds, Bingquan Dai et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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LL3M: Large Language 3D Modelers, Sining Lu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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BrepDiff: Single-stage B-rep Diffusion Model, Mingi Lee et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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PhysX-3D: Physical-Grounded 3D Asset Generation, Giang Cao et al., Arxiv 2025 | citation | site | code | ▲ citation count: 7
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LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS, Wanhua Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion, Fangfu Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Shape-for-Motion: Precise and Consistent Video Editing with 3D Proxy, Yuhao Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion, Yansong Qu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models, Donggoo Kang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence, Xinjie Wang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images, Juheon Hwang et al., Multimedia Systems 2025 | citation | site | code | ▲ citation count: 0
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ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding, Junliang Ye et al., Arxiv 2023 | citation | site | code | ▲ citation count: 7
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Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention, Shuang Wu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 15
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Constructing a 3D Town from a Single Image, Kaizhi Zheng et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits, Nail Ibrahimli et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets, Weiyu Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 9
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Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting, Feng Yang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis, Michal Geyer et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation, Michal Geyer et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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TesserAct: Learning 4D Embodied World Models, Haoyu Zhen et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Art3D: Training-Free 3D Generation from Flat-Colored Illustration, Xiaoyan Cong et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Generating 360° Video is What You Need For a 3D Scene, Zhaoyang Zhang et al., SIGGRAPH Asia 2025 | citation | site | code | ▲ citation count: 0
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ExScene: Free-View 3D Scene Reconstruction with Gaussian Splatting from a Single Image, Tianyi Gong et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs, Xianglong He et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data, Zhiyuan Ma et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Stable Virtual Camera: Generative View Synthesis with Diffusion Models, Jensen Zhou et al., Arxiv 2025 | citation | site | code | ▲ citation count: 10
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Bolt3D: Generating 3D Scenes in Seconds, Stanislaw Szymanowicz et al., Arxiv 2025 | citation | site | code | ▲ citation count: 10
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Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images, Tianhao Wu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 7
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PBR3DGen: A VLM-guided Mesh Generation with High-quality PBR Texture, Xiaokang Wei et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior, Zichen Tang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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I2V3D: Controllable image-to-video generation with 3D guidance, Zhiyuan Zhang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation, Jiantao Lin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Geometry-Aware Diffusion Models for Multiview Scene Inpainting, Ahmad Salimi et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image, Zilong Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 8
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TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models, Yangguang Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 29
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Joint Reconstruction of Spatially-Coherent and Realistic Clothed Humans and Objects from a Single Image, Ayushi Dutta et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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ConsistentDreamer: View-Consistent Meshes Through Balanced Multi-View Gaussian Optimization, Onat Şahin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Consistent Flow Distillation for Text-to-3D Generation, Runjie Yan et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images, Zixuan Huang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 4
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Wonderland: Navigating 3D Scenes from a Single Image, Hanwen Liang Yu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 12
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Turbo3D: Ultra-fast Text-to-3D Generation, Hanzhe Hu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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Direct and Explicit 3D Generation from a Single Image, Haoyu Wu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Edify 3D: Scalable High-Quality 3D Asset Generation, NVIDIA et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion, Wenqiang Sun et al., Arxiv 2024 | citation | site | code | ▲ citation count: 15
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GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation, Yushi Lan et al., Arxiv 2024 | citation | site | code | ▲ citation count: 4
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DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model, Jingxiang Sun et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models, Jiangzhi Bao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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SceneCraft: Layout-Guided 3D Scene Generation, Xiuyu Yang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness, Chenming Zhu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion, Zhaoxi Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 20
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Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion, Zhenwei Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 6
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Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models, Haibo Yang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification, Phu Pham et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation, Slava Elizarov et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model, Minghua Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow, Hangyu Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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DreamInit: A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness, Lutao Jiang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling, Dong Huo et al., Arxiv 2024 | citation | site | code | ▲ citation count: 7
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Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle, Zhenyu Tang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions, Haiyang Zhou et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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PlacidDreamer: Advancing Harmony in Text-to-3D Generation, Shuo Huang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models, Bowen Zhang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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Meta 3D Gen, Raphael Bensadoun et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation, Zhiyuan Ma et al., ECCV 2024 | citation | site | code | ▲ citation count: 3
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HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model, Hieu T. Nguyen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals, Sandeep Mishra et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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L4GM: Large 4D Gaussian Reconstruction Model, Jiawei Ren et al., Arxiv 2024 | citation | site | code | ▲ citation count: 8
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WonderWorld: Interactive 3D Scene Generation from a Single Image, Hong-Xing Yu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 18
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Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion, Hao Wen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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Tetrahedron Splatting for 3D Generation, Chun Gu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner, Weiyu Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 15
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LDM: Large Tensorial SDF Model for Textured Mesh Generation, Rengan Xie et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention, Peng Li et al., Arxiv 2024 | citation | site | code | ▲ citation count: 12
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Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching, Xingyu Miao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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CAT3D: Create Anything in 3D with Multi-View Diffusion Models, Ruiqi Gao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 38
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CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding, Guibiao Liao et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior, Yiqian Wu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion, Jaidev Shriram et al., Arxiv 2024 | citation | site | code | ▲ citation count: 14
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InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models, Jiale Xu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 49
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ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors, Tianxin Huang et al., ICLR 2025 | citation | site | code | ▲ citation count: 0
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ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors, Tianxin Huang et al., ICLR 2025 | citation | site | code | ▲ citation count: 0
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Hash3D: Training-free Acceleration for 3D Generation, Xingyi Yang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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PointInfinity: Resolution-Invariant Point Diffusion Models, Zixuan Huang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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The More You See in 2D, the More You Perceive in 3D, Xinyang Han et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling, Haoran Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling, Bowen Zhang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction, Taoran Yi et al., Arxiv 2024 | citation | site | code | ▲ citation count: 2
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TC4D: Trajectory-Conditioned Text-to-4D Generation, Sherwin Bahmani et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation, Yang Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion, Yuanze Lin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis, Kevin Xie et al., Arxiv 2024 | citation | site | code | ▲ citation count: 11
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GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation, Yinghao Xu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 34
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DreamReward: Text-to-3D Generation with Human Preference, Junliang Ye et al., ECCV 2024 | citation | site | code | ▲ citation count: 10
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GVGEN: Text-to-3D Generation with Volumetric Representation, Xianglong He et al., Arxiv 2024 | citation | site | code | ▲ citation count: 10
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SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion, Vikram Volet et al., Arxiv 2024 | citation | site | code | ▲ citation count: 41
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Generic 3D Diffusion Adapter Using Controlled Multi-View Editing, Hansheng Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 9
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BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis, Lutao Jiang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding, Pengkun Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 4
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Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation Fangfu Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation, Fangfu Liu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 3
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V3D: Video Diffusion Models are Effective 3D Generators Zilong Chen et al., Arxiv 2024 | citation | site | code | ▲ citation count: 11
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CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model Zhengyi Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 40
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TripoSR: Fast 3D Object Reconstruction from a Single Image Dmitry Tochilkin et al., Arxiv 2024 | citation | site | code | ▲ citation count: 27
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MVD2: Efficient Multiview 3D Reconstruction for Multiview Diffusion, Xin-Yang Zheng et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability, Xuelin Qian et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects, Yutaro Yamada et al., Arxiv 2024 | citation | site | code | ▲ citation count: 1
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IM-3D: : Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation, Luke Melas-Kyriazi et al., Arxiv 2024 | citation | site | code | ▲ citation count: 13
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LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation, Jiaxiang Tang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 83
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AToM: Amortized Text-to-Mesh using 2D Diffusion, Guocheng Qian et al., Arxiv 2024 | citation | ▲ citation count: 7
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Topology-Aware Latent Diffusion for 3D Shape Generation, Jiangbei Hu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 0
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AGG: Amortized Generative 3D Gaussians for Single Image to 3D, Dejia Xu et al., Arxiv 2024 | citation | site | code | ▲ citation count: 10
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SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity, Peihao Wang et al., Arxiv 2024 | citation | site | code | ▲ citation count: 5
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HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D, Sangmin Woo et al., Arxv 2023 | citation | site | code | ▲ citation count: 3
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Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks, Christian Simon et al., Arxv 2023 | citation | site | code | ▲ citation count: 0
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Text2Immersion: Generative Immersive Scene with 3D Gaussians, Hao Ouyang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 8
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Stable Score Distillation for High-Quality 3D Generation, Boshi Tang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 5
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SceneWiz3D: Towards Text-guided 3D Scene Composition, Qihang Zhang et al., CVPR 2024 | citation | site | code | ▲ citation count: 11
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CAD: Photorealistic 3D Generation via Adversarial Distillation, Ziyu Wan et al., Arxiv 2023 | citation | site | code | ▲ citation count: 4
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EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion, Zehuan Huang et al., CVPR 2024 | citation | site | code | ▲ citation count: 7
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Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors, Lihe Ding et al., Arxiv 2023 | citation | site | code | ▲ citation count: 5
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Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion, Kira Prabhu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D, Pengsheng Guo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation, Yiwei Ma et al., Arxiv 2023 | citation | site | code | ▲ citation count: 2
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Adversarial Diffusion Distillation, Axel Sauer et al., Arxiv 2023 | citation | site | code | ▲ citation count: 4
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DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling, Linqi Zhou et al., Arxiv 2023| citation | site | code | ▲ citation count: 3
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RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D, Lingteng Qiu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 25
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MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers, Yawar Siddiqui et al., Arxiv 2023| citation | site | code | ▲ citation count: 21
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LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching, Yixun Liang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 41
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MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture, Lincong Feng et al., Arxiv 2023 | citation | site | code | ▲ citation count: 0
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One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion, Minghua Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 38
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LRM: Large Reconstruction Model for Single Image to 3D, Yicong Hong et al., Arxiv 2023 | citation | site | code | ▲ citation count: 91
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Text-to-3D with classifier score distillation, Xin Yu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 23
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HyperFields: Towards Zero-Shot Generation of NeRFs from Text, Sudarshan Babu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 3
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Noise-Free Score Distillation, Oren Katzir et al., Arxiv 2023 | citation | site | code | ▲ citation count: 20
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DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior, Jingxiang Sun et al., Arxiv 2023 | citation | site | code | ▲ citation count: 33
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Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model, Ruoxi Shi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 62
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Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping, Zijie Pan et al., Arxiv 2023 | citation | site | code | ▲ citation count: 3
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SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D, Weiyu Li et al., Arxiv 2023 | citation | site | code | ▲ citation count: 32
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GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors,Taoran Yi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 35
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Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors, Yukang Lin et al., Arxiv 2023 | citation | site | code | ▲ citation count: 13
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation, Jiaxiang Tang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 91
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Text-to-3D using Gaussian Splatting, Zilong Chen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 40
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Progressive Text-to-3D Generation for Automatic 3D Prototyping, Han Yi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 2
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Large-Vocabulary 3D Diffusion Model with Transformer, Ziang Cao et al., Arxiv 2023 | citation | site | code | ▲ citation count: 10
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SyncDreamer: Generating Multiview-consistent Images from a Single-view Image, Yuan Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 81
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MVDream: Multi-view Diffusion for 3D Generation, Yichun Shi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 128
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PointLLM: Empowering Large Language Models to Understand Point Clouds, Xu Runsen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 3
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IT3D: Improved Text-to-3D Generation with Explicit View Synthesis, Yiwen Chen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 16
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RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects, Sascha Kirch et al., Arxiv 2023 | citation | site | code | ▲ citation count: 0
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Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation, Chaohui Yu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 9
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Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation, Aditya Sanghi et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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AutoDecoding Latent 3D Diffusion Models, Evangelos Ntavelis et al., NeurIPS 2023 | citation | site | code | ▲ citation count: 19
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MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, Shitao Tang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 29
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3D-LLM: Injecting the 3D World into Large Language Models, Yining Hong et al., Arxiv 2023 | citation | site | code | ▲ citation count: 7
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Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors, Guocheng Qian et al., Arxiv 2023 | citation | site | code | ▲ citation count: 79
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Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation, Zibo Zhao et al., Arxiv 2023 | citation | site | code | ▲ citation count: 25
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One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization, Minghua Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 89
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Cap3D: Scalable 3D Captioning with Pretrained Models, Tiange Luo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 19
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InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions, Jiale Xu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 1
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ATT3D: Amortized Text-to-3D Object Synthesis, Jonathan Lorraine et al., ICCV 2023 | citation | site | code | ▲ citation count: 28
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DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views, Paul Yoo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 10
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HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance, Junzhe Zhu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 17
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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation, Zhengyi Wang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 165
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Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models, Xingqian Xu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 0
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Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields, Jingbo Zhang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 21
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High-fidelity 3D Face Generation from Natural Language Descriptions, Menghua Wu et al., CVPR 2023 | citation | site | code | ▲ citation count: 3
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Shap-E: Generating Conditional 3D Implicit Functions, Heewoo Jun et al., Arxiv 2023 | citation | site | code | ▲ citation count: 68
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TextMesh: Generation of Realistic 3D Meshes From Text Prompts, Christina Tsalicoglou Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 27
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Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction, Hansheng Chen et al., Arxiv 2023 | citation | site | code | ▲ citation count: 28
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Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond, Mohammadreza Armandpour et al., Arxiv 2023 | citation | site | code | ▲ citation count: 27
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Generative Novel View Synthesis with 3D-Aware Diffusion Models, Eric R. Chan et al., Arxiv 2023 | citation | site | code | ▲ citation count: 38
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PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion, Gwanghyun Kim et al., ICCV 2023 | citation | site | code | ▲ citation count: 0
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3D-aware Image Generation using 2D Diffusion Models, Jianfeng Xiang et al., Arxiv 2023 | citation | site | code | ▲ citation count: 12
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Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior, Junshu Tang et al., ICCV 2023 | citation | site | code | ▲ citation count: 75
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DreamBooth3D: Subject-Driven Text-to-3D Generation, Amit Raj et al., ICCV 2023 | citation | site | code | ▲ citation count: 39
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Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models, Lukas Höllein et al., Arxiv 2023 | citation | site | code | ▲ citation count: 32
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Zero-1-to-3: Zero-shot One Image to 3D Object, Ruoshi Liu et al., Arxiv 2023 | citation | site | code | ▲ citation count: 170
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3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process, Yuhan Li et al., CVPR 2023 | citation | site | code | ▲ citation count: 3
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LERF: Language Embedded Radiance Fields, Justin Kerr et al., Arxiv 2023 | citation | site | code | ▲ citation count: 8
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3DFuse: Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation, Junyoung Seo et al., Arxiv 2023 | citation | site | code | ▲ citation count: 32
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GECCO: Geometrically-Conditioned Point Diffusion Models, Michał J. Tyszkiewicz et al., ICCV 2023 | citation | site | code | ▲ citation count: 5
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Monocular Depth Estimation using Diffusion Models, Saurabh Saxena et al., Arxiv 2023 | citation | site | code | ▲ citation count: 2
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DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models, Jamie Wynn et al., CVPR 2023 | citation | site | code | ▲ citation count: 1
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RealFusion: 360° Reconstruction of Any Object from a Single Image, Luke Melas-Kyriazi et al., CVPR 2023 | citation | site | code | ▲ citation count: 54
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NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion, Jiatao Gu et al., ICML 2023 | citation | site | code | ▲ citation count: 32
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TEXTure: Text-Guided Texturing of 3D Shapes, Elad Richardson Chen et al., SIGGRAPH 2023 | citation | site | code | ▲ citation count: 58
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SceneScape: Text-Driven Consistent Scene Generation, Rafail Fridman et al., Arxiv 2023 | citation | site | code | ▲ citation count: 20
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Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models, Jiale Xu et al., Arxiv 2022 | citation | site | code | ▲ citation count: 27
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Point-E: A System for Generating 3D Point Clouds from Complex Prompts, Alex Nichol et al., Arxiv 2022 | citation | site | code | ▲ citation count: 114
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SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation, Yen-Chi Cheng et al., CVPR 2023 | citation | site | code | ▲ citation count: 46
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NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors, Congyue Deng et al., CVPR 2023 | citation | site | code | ▲ citation count: 33
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SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction, Zhizhuo Zho et al., CVPR 2023 | citation | site | code | ▲ citation count: 29
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Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation, Haochen Wang et al., CVPR 2023 | citation | site | code | ▲ citation count: 122
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NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views, Dejia Xu et al., Arxiv 2022 | citation | site | code | ▲ citation count: 30
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DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model, Gwanghyun Kim et al., CVPR 2023 | citation | site | code | ▲ citation count: 2
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Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions, Gene Chou et al., Arxiv 2023 | citation | site | code | ▲ citation count: 11
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Magic3D: High-Resolution Text-to-3D Content Creation, Chen-Hsuan Linet et al., CVPR 2023 | citation | site | code | ▲ citation count: 200
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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures, Gal Metzer et al., Arxiv 2023 | citation | site | code | ▲ citation count: 99
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Novel View Synthesis with Diffusion Models, Daniel Watson et al., Arxiv 2022 | citation | site | code | ▲ citation count: 49
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Novel View Synthesis with Diffusion Models, Daniel Watson et al., ICLR 2023 | citation | site | code | ▲ citation count: 49
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PureCLIPNERF: Understanding Pure CLIP Guidance for Voxel Grid NeRF Models, Han-Hung Lee et al., Arxiv 2022 | citation | site | code | ▲ citation count: 15
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DreamFusion: Text-to-3D using 2D Diffusion, Ben Poole et al., ICLR 2023 | citation | site | code | ▲ citation count: 293
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CLIP-Mesh: Generating textured meshes from text using pretrained image-text models, Nasir Khalid et al., Arxiv 2023 | citation | site | code | ▲ citation count: 72
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Zero-Shot Text-Guided Object Generation with Dream Fields, Ajay Jain et al., CVPR 2022 | citation | site | code | ▲ citation count: 126
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CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation, Aditya Sanghi et al., Arxiv 2021 | citation | site | code | ▲ citation count: 59
3D Editing, Decomposition & Stylization
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LiteTex-GS: Fast and Lightweight Texturing for Gaussian Splatting, Zhiwei Li et al., Pacific Graphics 2026 (Computer Graphics Forum) | citation | site | code | ▲ citation count: 0
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Physically Based Rendering in the Latent Space, Vuk Radovanovic et al., Pacific Graphics 2026 (Computer Graphics Forum) | citation | site | code | ▲ citation count: 0
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GS-PI: An Optimization-Decoupled Appearance Decomposition Approach for Generating PBR Gaussian Assets, Jieting Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting, Hejun Wang et al., SIGGRAPH Asia 2026 | citation | site | code | ▲ citation count: 0
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PointGT: Simultaneous Geometry and Texture Editing for Point-Based Representations, Yanshu Zhang et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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PoseAdapter: Dual-Stream 2.5D Controllable Image Generation for Complex Multi-Object Scenes, Yufeng Chi et al., ACM MM 2026 | citation | site | code | ▲ citation count: 0
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GeoCache: Training-Free Acceleration of Multi-View Texture Diffusion via Geometric Delta Transport, Haotang Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization, Siwoo Lim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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Dynamic Inverse Rendering for Enhanced Material-Lighting Decomposition, Raza Yunus et al.,
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