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Awesome-3D-AIGC

A curated list of papers and open-source resources focused on 3D AIGC.
https://github.com/mdyao/Awesome-3D-AIGC

Last synced: 3 days ago
JSON representation

  • 3D Editing:

    • 10. TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts [arxiv 2024.01]

    • 11. ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields [NeurIPS 2023]

    • 12. Consolidating Attention Features for Multi-view Image Editing [arxiv 2024.02]

    • 13. SealD-NeRF: Interactive Pixel-Level Editing for Dynamic Scenes by Neural Radiance Fields [arxiv 2024.02]

    • 1. DreamEditor: Text-Driven 3D Scene Editing with Neural Fields [arxiv 2023.06]

      • πŸ“„ Paper - hcp.net/projects/cv/111.html) | [πŸ’» Code](https://github.com/zjy526223908/DreamEditor)
    • 2. IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis [arxiv 2022.05]

      • πŸ“„ Paper - 3D/) | [πŸ’» Code](https://github.com/MrTornado24/IDE-3D)
    • 3. DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images [ICLR 2023]

    • 4. Image Sculpting: Precise Object Editing with 3D Geometry Control [arxiv 2024.01]

      • πŸ“„ Paper - sculpting.github.io/) | [πŸ’» Code](https://github.com/vision-x-nyu/image-sculpting)
    • 5. Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

      • πŸ“„ Paper - GS-web/) | [πŸ’» Code](https://github.com/yihua7/SC-GS)
    • 6. SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

    • 7. InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes [arxiv 2024.01]

    • 8. GO-NeRF: Generating Virtual Objects in Neural Radiance Fields [arxiv 2024.01]

    • 9. Exploration and Improvement of Nerf-based 3D Scene Editing Techniques [arxiv 2024.01]

  • 4D AIGC

    • 11. 4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes [arxiv 2024.02]

    • 1. 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency [arxiv 2023.12]

      • πŸ“„ Paper - group.github.io/4DGen/) | [πŸ’» Code](https://github.com/VITA-Group/4DGen)
    • 2. DreamGaussian4D: Generative 4D Gaussian Splatting [arxiv 2023.12]

      • πŸ“„ Paper - ren.github.io/projects/dreamgaussian4d/) | [πŸ’» Code](https://github.com/jiawei-ren/dreamgaussian4d)
    • 3. Learning 3D Animal Motions from Unlabeled Online Videos [arxiv 2023.12]

    • 4. Fast Dynamic 3D Object Generation from a Single-view Video [arxiv 2024.01]

    • 5. WonderJourney: Going from Anywhere to Everywhere [arxiv 2023.12]

    • 6. Text-To-4D Dynamic Scene Generation [ICML 2023]

    • 7. Consistent4D: Consistent 360Β° Dynamic Object Generation from Monocular Video [ICLR 2024]

    • 8. Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models [arxiv 2023.12]

    • 9. Animate124: Animating One Image to 4D Dynamic Scene [arxiv 2023.11]

  • Audio to 3D Generation:

    • 1. From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations [arxiv 2024.01]

      • πŸ“„ Paper - ai/DreamCraft3D](https://github.com/facebookresearch/audio2photoreal))
  • Autonomous Driving:

    • 2. A Survey on Safety-Critical Driving Scenario Generation – A Methodological Perspective [IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2023]

    • 3. Street Gaussians for Modeling Dynamic Urban Scenes [arxiv 2024.01]

    • 4. A Survey for Foundation Models in Autonomous Driving [arxiv 2024.02]

  • BioMedical:

    • 1. MinD-3D: Reconstruct High-quality 3D objects in Human Brain [arxiv 2023.12]

      • πŸ“„ Paper - 3D/) | [πŸ’» Code](https://github.com/JianxGao/MinD-3D)
    • 2. EndoGaussian: Gaussian Splatting for Deformable Surgical Scene Reconstruction [arxiv 2024.01]

    • 3. Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting [arxiv 2024.01]

    • 4. Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes [arxiv 2024.01]

  • Credits

    • Unofficial Implementations

  • Human-Avatar Generation:

    • 11. Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints [arxiv 2023.12]

    • 12. GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians [arxiv 2023.12]

    • 13. DreamWaltz: Make a Scene with Complex 3D Animatable Avatars [NeurIPS 2023]

    • 14. UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures [arxiv 2024.01]

    • 15. ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image [arxiv 2023.05]

    • 16. PSAvatar: A Point-based Morphable Shape Model for Real-Time Head Avatar Creation with 3D Gaussian Splatting [arxiv 2024.01]

    • 17. GPAvatar: Generalizable and Precise Head Avatar from Image(s) [ICLR 2024]

      • πŸ“„ Paper - chu.github.io/project_gpavatar/) | [πŸ’» Code](https://github.com/xg-chu/GPAvatar)
    • 18. Tri^2-plane: Volumetric Avatar Reconstruction with Feature Pyramid [arxiv 2024.01]

    • 19. Emo-Avatar: Efficient Monocular Video Style Avatar through Texture Rendering [arxiv 2024.02]

    • 1. AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation [arxiv 2023.06]

      • πŸ“„ Paper - yifei.github.io/avatarbooth_page/) | [πŸ’» Code](https://github.com/zeng-yifei/AvatarBooth)
    • 20. ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting [arxiv 2024.02]

    • 21. HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting [arxiv 2024.02]

    • 22. Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos [arxiv 2024.02]

    • 23. DivAvatar: Diverse 3D Avatar Generation with a Single Prompt [arxiv 2024.02]

    • 24. Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation [CVPR 2026]

    • 2. SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance [arxiv 2023.12]

    • 3. Text and Image Guided 3D Avatar Generation and Manipulation [arxiv 2023.08]

      • πŸ“„ Paper - team.github.io/latent3D/) | [πŸ’» Code](https://github.com/catlab-team/latent3D_code)
    • 4. En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data [arxiv 2024.01]

    • 5. Make-A-Character: High Quality Text-to-3D Character Generation within Minutes [arxiv 2023.12]

    • 6. Text2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute [arxiv 2024.01]

    • 7. DreamHuman: Animatable 3D Avatars from Text [NeurIPS 2023]

    • 8. Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction [NeurIPS 2023]

      • πŸ“„ Paper - zhang.github.io/GTA-projectpage/) | [πŸ’» Code](https://river-zhang.github.io/GTA-projectpage/)
    • 9. PV3D: A 3D Generative Model for Portrait Video Generation

  • Image to 3D Generation:

    • 10. GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields [arxiv 2024.01]

    • 11. NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360Β° Views [arxiv 2022.11]

      • πŸ“„ Paper - group.github.io/NeuralLift-360/) | [πŸ’» Code](https://github.com/Ir1d/NeuralLift-360)
    • 13. AGG: Amortized Generative 3D Gaussians for Single Image to 3D [arxiv 2024.01]

    • 14. What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs [arxiv 2024.01]

    • 15. TOSS: High-quality Text-guided Novel View Synthesis from a Single Image [ICLR 2024]

    • 16. Make-it-3D: high-fidelity 3d creation from a single image with diffusion prior [ICCV 2023]

      • πŸ“„ Paper - it-3d.github.io) | [πŸ’» Code](https://github.com/junshutang/Make-It-3D)
    • 17. IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images [arxiv 2024.01]

    • 18. Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion [arxiv 2024.01]

    • 1. Zero-1-to-3: Zero-shot One Image to 3D Object [ICCV 2023]

      • πŸ“„ Paper - columbia/zero123) | [πŸ€— Hugging Face](https://huggingface.co/spaces/cvlab/zero123-live)
    • 20. 2L3: Lifting Imperfect Generated 2D Images into Accurate 3D [arxiv 2024.01]

    • 21. GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting [arxiv 2024.02]

    • 22. Colorizing Monochromatic Radiance Fields [arxiv 2024.02]

    • 23. DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer [arxiv 2024.02]

    • 24. Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image [arxiv 2026.05]

    • 25. Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models [ECCV 2026]

      • πŸ“„ Paper - TextureGen/) [πŸ’» Code](https://github.com/YueHan99/Ink3D.TextureGen)
    • 2. Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model [arxiv 2023.10]

      • πŸ“„ Paper - AI-3D/zero123plus) | [πŸ€— Hugging Face](https://huggingface.co/spaces/sudo-ai/zero123plus-demo-space)
    • 3. One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization [arxiv 2023.06]

      • πŸ“„ Paper - 2-3-45.github.io/) | [πŸ’» Code](https://github.com/One-2-3-45/One-2-3-45)
    • 4. One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion [arxiv 2023.11]

      • πŸ“„ Paper - ai-3d.github.io/One2345plus_page/) | [πŸ’» Code](https://github.com/SUDO-AI-3D/One2345plus)
    • 5. TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion [ICLR 2024]

    • 6. Wonder3d: Single Image to 3D using Cross-Domain Diffusion [arxiv 2023.10]

    • 7. LRM: Large Reconstruction Model for Single Image to 3D [ICLR 2024]

    • 8. Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors [arxiv 2023.06]

    • 9. DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior [arxiv 2023.10]

  • Misc:

    • 10. Diffusion-based Light Field Synthesis [arxiv 2024.02]

    • 11. OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding [arxiv 2024.02]

    • 12. MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers [arxiv 2023.11]

    • 1. FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding [arxiv 2024.01]

    • 2. Learning the 3D Fauna of the Web [arxiv 2401]

    • 3. M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts [arxiv 2023.12]

    • 4. LERF: Language Embedded Radiance Fields [ICCV 2023]

    • 5. LangSplat: 3D Language Gaussian Splatting [arxiv 2023.12]

    • 6. Infinite Photorealistic Worlds using Procedural Generation [CVPR 2023]

    • 7. Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models [arxiv 2024.01]

      • πŸ“„ Paper - cilab.github.io/DiffutoonProjectPage/) | [πŸ’» Code](https://github.com/Artiprocher/DiffSynth-Studio)
    • 8. BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation [arxiv 2024.01]

    • 9. Geometry Transfer for Stylizing Radiance Fields [arxiv 2024.02]

      • πŸ“„ Paper - srf/) | [πŸ’» Code](https://github.com/hyBlue/Geo-SRF)
  • Open Source Implementations

    • Unofficial Implementations

      • ThreeStudio - shot images, by lifting 2D text-to-image generation models.
  • Practical Tools

    • Unofficial Implementations

      • Image3D - based image-to-3D tool for converting a single image into downloadable GLB, OBJ, STL, and PLY files. Related workflows include [image to STL](https://image3d.io/image-to-stl/), [image to GLB](https://image3d.io/image-to-glb/), and [AI image to 3D](https://image3d.io/ai-image-to-3d/).
  • Star History

  • Survey:

  • Text to 3D Generation:

    • 10. RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D [arxiv 2023.11]

    • 11. SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity [arxiv 2024.01]

      • πŸ“„ Paper - group.github.io/SteinDreamer/) | [πŸ’» Code](https://github.com/Ir1d/SteinDreamer)
    • 12. Taming Mode Collapse in Score Distillation for Text-to-3D Generation [arxiv 2024.01]

      • πŸ“„ Paper - group.github.io/3D-Mode-Collapse/) | [πŸ’» Code](https://github.com/VITA-Group/3D-Mode-Collapse)
    • 13. DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation [arxiv 2023.09]

    • 14. HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidanceγ€€[arxiv 2023.05]

      • πŸ“„ Paper - site/) | [πŸ’» Code](https://github.com/JunzheJosephZhu/HiFA)
    • 15. Triplane Meets Gaussian Splatting [arxiv 2023.12]

    • 16. DMV3D:Denoising Multi-View Diffusion using 3D Large Reconstruction Model [ICLR 2024]

    • 17. Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model [arxiv 2023.11]

    • 18. Instant3D: Instant Text-to-3D Generation [arxiv 2023.11]

    • 19. Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts [ICLR 2024]

    • 1. DreamFusion: Text-to-3D using 2D Diffusion [ICLR 2023]

    • 20. DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation [ICLR 2024]

    • 21. TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy TextFields [ICLR 2024]

    • 22. Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation [arxiv 2024.01]

    • 23. Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior [arxiv 2024.01]

    • 24. AToM: Amortized Text-to-Mesh using 2D Diffusion [arxiv 2024.02]

      • πŸ“„ Paper - research.github.io/AToM/) | [πŸ’» Code](https://github.com/snap-research/AToM)
    • 25. EscherNet: A Generative Model for Scalable View Synthesis [arxiv 2024.02]

    • 26. TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts [arxiv 2024.01]

    • 27. BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion [arxiv 2024.01]

    • 28. AToM: Amortized Text-to-Mesh using 2D Diffusion [arxiv 2024.02]

      • πŸ“„ Paper - research.github.io/AToM/) | [πŸ’» Code](https://github.com/snap-research/AToM)
    • 29. IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation [arxiv 2024.02]

    • 2. Shapeglot: Learning Language for Shape Differentiation [CVPR 2019]

    • 30. GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting [arxiv 2024.02]

    • 31. GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation [arxiv 2024.01]

    • 32. ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation [ECCV 2024]

      • πŸ“„ Paper - release/) | [πŸ’» Code](https://github.com/theEricMa/ScaleDreamer)
    • 3. Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings [ACCV 2018]

    • 4. ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model [NeurIPS 2022]

    • 5. Magic3D: High-Resolution Text-to-3D Content Creation [CVPR 2023]

    • 6. Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models [CVPR 2023]

    • 7. CLIP-Mesh: Generating textured meshes from text using pretrained image-text models [SIGGRAPH ASIA 2022]

    • 8. Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation [CVPR 2023]

    • 9. Dream Fields: Zero-Shot Text-Guided Object Generation with Dream Fields [CVPR 2022 and AI4CC 2022 (Best Poster)]

Sub Categories
3. A survey of deep learning-based 3D shape generation [Computational Visual Media 2023.05] 35 Unofficial Implementations 6 8. GO-NeRF: Generating Virtual Objects in Neural Radiance Fields [arxiv 2024.01] 2 2. Deep Generative Models on 3D Representations: A Survey [arxiv 2023.10] 2 1. Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era [arxiv 2023.05] 2 13. AGG: Amortized Generative 3D Gaussians for Single Image to 3D [arxiv 2024.01] 2 4. Fast Dynamic 3D Object Generation from a Single-view Video [arxiv 2024.01] 1 4. Learning Generative Models of 3D Structures [Computer Graphics Forum 2020.05] 1 6. A Survey on Deep Generative 3D-aware Image Synthesis [ACM Computing Surveys 2023.11] 1 22. Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos [arxiv 2024.02] 1 9. Geometry Transfer for Stylizing Radiance Fields [arxiv 2024.02] 1 15. Triplane Meets Gaussian Splatting [arxiv 2023.12] 1 17. IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images [arxiv 2024.01] 1 25. EscherNet: A Generative Model for Scalable View Synthesis [arxiv 2024.02] 1 1. FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding [arxiv 2024.01] 1 7. LRM: Large Reconstruction Model for Single Image to 3D [ICLR 2024] 1 12. MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers [arxiv 2023.11] 1 28. AToM: Amortized Text-to-Mesh using 2D Diffusion [arxiv 2024.02] 1 8. Advances in Neural 3D Mesh Texturing: A Survey [arxiv 2026.06] 1 3. Street Gaussians for Modeling Dynamic Urban Scenes [arxiv 2024.01] 1 11. OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding [arxiv 2024.02] 1 2. Learning the 3D Fauna of the Web [arxiv 2401] 1 11. Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints [arxiv 2023.12] 1 2. IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis [arxiv 2022.05] 1 8. Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction [NeurIPS 2023] 1 2. A Survey on Safety-Critical Driving Scenario Generation – A Methodological Perspective [IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2023] 1 11. 4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes [arxiv 2024.02] 1 6. SIGNeRF: Scene Integrated Generation for Neural Radiance Fields 1 19. Emo-Avatar: Efficient Monocular Video Style Avatar through Texture Rendering [arxiv 2024.02] 1 5. LangSplat: 3D Language Gaussian Splatting [arxiv 2023.12] 1 26. TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts [arxiv 2024.01] 1 3. DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images [ICLR 2023] 1 8. Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors [arxiv 2023.06] 1 14. UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures [arxiv 2024.01] 1 24. AToM: Amortized Text-to-Mesh using 2D Diffusion [arxiv 2024.02] 1 2. EndoGaussian: Gaussian Splatting for Deformable Surgical Scene Reconstruction [arxiv 2024.01] 1 4. One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion [arxiv 2023.11] 1 7. CLIP-Mesh: Generating textured meshes from text using pretrained image-text models [SIGGRAPH ASIA 2022] 1 15. TOSS: High-quality Text-guided Novel View Synthesis from a Single Image [ICLR 2024] 1 12. Consolidating Attention Features for Multi-view Image Editing [arxiv 2024.02] 1 11. ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields [NeurIPS 2023] 1 3. Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting [arxiv 2024.01] 1 27. BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion [arxiv 2024.01] 1 9. Dream Fields: Zero-Shot Text-Guided Object Generation with Dream Fields [CVPR 2022 and AI4CC 2022 (Best Poster)] 1 3. Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings [ACCV 2018] 1 24. Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image [arxiv 2026.05] 1 32. ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation [ECCV 2024] 1 22. Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation [arxiv 2024.01] 1 4. Image Sculpting: Precise Object Editing with 3D Geometry Control [arxiv 2024.01] 1 18. Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion [arxiv 2024.01] 1 7. DreamHuman: Animatable 3D Avatars from Text [NeurIPS 2023] 1 13. SealD-NeRF: Interactive Pixel-Level Editing for Dynamic Scenes by Neural Radiance Fields [arxiv 2024.02] 1 7. Advances in 3D Generation: A Survey [arxiv 2024.01] 1 8. Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation [CVPR 2023] 1 7. Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models [arxiv 2024.01] 1 19. Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts [ICLR 2024] 1 17. Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model [arxiv 2023.11] 1 8. Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models [arxiv 2023.12] 1 1. 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency [arxiv 2023.12] 1 20. ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting [arxiv 2024.02] 1 3. Learning 3D Animal Motions from Unlabeled Online Videos [arxiv 2023.12] 1 14. What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs [arxiv 2024.01] 1 2. SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance [arxiv 2023.12] 1 20. DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation [ICLR 2024] 1 5. Magic3D: High-Resolution Text-to-3D Content Creation [CVPR 2023] 1 6. Text-To-4D Dynamic Scene Generation [ICML 2023] 1 31. GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation [arxiv 2024.01] 1 10. RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D [arxiv 2023.11] 1 25. Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models [ECCV 2026] 1 1. AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation [arxiv 2023.06] 1 2. Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model [arxiv 2023.10] 1 13. DreamWaltz: Make a Scene with Complex 3D Animatable Avatars [NeurIPS 2023] 1 16. PSAvatar: A Point-based Morphable Shape Model for Real-Time Head Avatar Creation with 3D Gaussian Splatting [arxiv 2024.01] 1 1. MinD-3D: Reconstruct High-quality 3D objects in Human Brain [arxiv 2023.12] 1 9. Exploration and Improvement of Nerf-based 3D Scene Editing Techniques [arxiv 2024.01] 1 11. NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360Β° Views [arxiv 2022.11] 1 11. SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity [arxiv 2024.01] 1 2. DreamGaussian4D: Generative 4D Gaussian Splatting [arxiv 2023.12] 1 1. DreamFusion: Text-to-3D using 2D Diffusion [ICLR 2023] 1 10. GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields [arxiv 2024.01] 1 21. HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting [arxiv 2024.02] 1 1. DreamEditor: Text-Driven 3D Scene Editing with Neural Fields [arxiv 2023.06] 1 6. Infinite Photorealistic Worlds using Procedural Generation [CVPR 2023] 1 18. Instant3D: Instant Text-to-3D Generation [arxiv 2023.11] 1 6. Wonder3d: Single Image to 3D using Cross-Domain Diffusion [arxiv 2023.10] 1 23. Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior [arxiv 2024.01] 1 10. TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts [arxiv 2024.01] 1 8. BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation [arxiv 2024.01] 1 5. TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion [ICLR 2024] 1 16. Make-it-3D: high-fidelity 3d creation from a single image with diffusion prior [ICCV 2023] 1 4. En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data [arxiv 2024.01] 1 7. Consistent4D: Consistent 360Β° Dynamic Object Generation from Monocular Video [ICLR 2024] 1 6. Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models [CVPR 2023] 1 5. WonderJourney: Going from Anywhere to Everywhere [arxiv 2023.12] 1 1. Zero-1-to-3: Zero-shot One Image to 3D Object [ICCV 2023] 1 17. GPAvatar: Generalizable and Precise Head Avatar from Image(s) [ICLR 2024] 1 4. A Survey for Foundation Models in Autonomous Driving [arxiv 2024.02] 1 9. DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior [arxiv 2023.10] 1 4. Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes [arxiv 2024.01] 1 14. HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidanceγ€€[arxiv 2023.05] 1 3. Text and Image Guided 3D Avatar Generation and Manipulation [arxiv 2023.08] 1 23. DivAvatar: Diverse 3D Avatar Generation with a Single Prompt [arxiv 2024.02] 1 5. Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes 1 6. Text2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute [arxiv 2024.01] 1 24. Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation [CVPR 2026] 1 5. A Survey on 3D Gaussian Splatting [arxiv 2024.01] 1 22. Colorizing Monochromatic Radiance Fields [arxiv 2024.02] 1 3. M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts [arxiv 2023.12] 1 3. One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization [arxiv 2023.06] 1 13. DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation [arxiv 2023.09] 1 21. GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting [arxiv 2024.02] 1 18. Tri^2-plane: Volumetric Avatar Reconstruction with Feature Pyramid [arxiv 2024.01] 1 30. GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting [arxiv 2024.02] 1 9. PV3D: A 3D Generative Model for Portrait Video Generation 1 5. Make-A-Character: High Quality Text-to-3D Character Generation within Minutes [arxiv 2023.12] 1 12. GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians [arxiv 2023.12] 1 4. ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model [NeurIPS 2022] 1 2. Shapeglot: Learning Language for Shape Differentiation [CVPR 2019] 1 21. TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy TextFields [ICLR 2024] 1 7. InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes [arxiv 2024.01] 1 20. 2L3: Lifting Imperfect Generated 2D Images into Accurate 3D [arxiv 2024.01] 1 4. LERF: Language Embedded Radiance Fields [ICCV 2023] 1 12. Taming Mode Collapse in Score Distillation for Text-to-3D Generation [arxiv 2024.01] 1 16. DMV3D:Denoising Multi-View Diffusion using 3D Large Reconstruction Model [ICLR 2024] 1 1. From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations [arxiv 2024.01] 1 15. ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image [arxiv 2023.05] 1 9. Animate124: Animating One Image to 4D Dynamic Scene [arxiv 2023.11] 1 10. Diffusion-based Light Field Synthesis [arxiv 2024.02] 1 23. DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer [arxiv 2024.02] 1 29. IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation [arxiv 2024.02] 1