awesome-3d-aigc
github.com/mdyao/awesome-3d-aigc ↗A curated list of papers and open-source resources focused on 3D AIGC.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 3. text2shape: generating shapes from natural language by learning joint embeddings [accv 2018] resources from awesome-3d-aigc"
Installation instructions →What's inside
Practical Tools
Credits
Text to 3D Generation:
- 📄 Paper3. Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings [ACCV 2018]
🌐 Project Page💻 Code
- 📄 Paper9. Dream Fields: Zero-Shot Text-Guided Object Generation with Dream Fields [CVPR 2022 and AI4CC 2022 (Best Poster)]
🌐 Project Page💻 Code
- 📄 Paper10. RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D [arxiv 2023.11]
🌐 Project Page💻 Code
- 📄 Paper11. SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity [arxiv 2024.01]
🌐 Project Page💻 Code
- 📄 Paper12. Taming Mode Collapse in Score Distillation for Text-to-3D Generation [arxiv 2024.01]
🌐 Project Page💻 Code
- 📄 Paper13. DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation [arxiv 2023.09]
🌐 Project Page💻 Code
Image to 3D Generation:
- 📄 Paper1. Zero-1-to-3: Zero-shot One Image to 3D Object [ICCV 2023]
🌐 Project Page💻 Code🤗 Hugging Face
- 📄 Paper2. Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model [arxiv 2023.10]
🌐 Project Page💻 Code🤗 Hugging Face
- 📄 Paper3. One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization [arxiv 2023.06]
🌐 Project Page💻 Code
- 📄 Paper4. One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion [arxiv 2023.11]
🌐 Project Page💻 Code
- 📄 Paper5. TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion [ICLR 2024]
🌐 Project Page
- 📄 Paper6. Wonder3d: Single Image to 3D using Cross-Domain Diffusion [arxiv 2023.10]
🌐 Project Page💻 Code
3D Editing:
- 📄 Paper1. DreamEditor: Text-Driven 3D Scene Editing with Neural Fields [arxiv 2023.06]
🌐 Project Page💻 Code
- 📄 Paper4. Image Sculpting: Precise Object Editing with 3D Geometry Control [arxiv 2024.01]
🌐 Project Page💻 Code
- 📄 Paper5. Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
🌐 Project Page💻 Code
- 📄 Paper6. SIGNeRF: Scene Integrated Generation for Neural Radiance Fields
🌐 Project Page💻 Code
- 📄 Paper7. InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes [arxiv 2024.01]
🌐 Project Page
- 📄 Paper8. GO-NeRF: Generating Virtual Objects in Neural Radiance Fields [arxiv 2024.01]
🌐 Project Page
Human-Avatar Generation:
- 📄 Paper3. Text and Image Guided 3D Avatar Generation and Manipulation [arxiv 2023.08]
🌐 Project Page💻 Code
- 📄 Paper8. Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction [NeurIPS 2023]
🌐 Project Page💻 Code
- 📄 Paper9. PV3D: A 3D Generative Model for Portrait Video Generation
🌐 Project Page💻 Code
- 📄 Paper10. GART: Gaussian Articulated Template Models [arxiv 2023.11]
🌐 Project Page💻 Code
- 📄 Paper16. PSAvatar: A Point-based Morphable Shape Model for Real-Time Head Avatar Creation with 3D Gaussian Splatting [arxiv 2024.01]
💻 Code
- 📄 Paper17. GPAvatar: Generalizable and Precise Head Avatar from Image(s) [ICLR 2024]
🌐 Project Page💻 Code
Autonomous Driving:
- 📄 Paper3. Street Gaussians for Modeling Dynamic Urban Scenes [arxiv 2024.01]
🌐 Project Page💻 Code
BioMedical:
- 📄 Paper1. MinD-3D: Reconstruct High-quality 3D objects in Human Brain [arxiv 2023.12]
🌐 Project Page💻 Code
- 📄 Paper2. EndoGaussian: Gaussian Splatting for Deformable Surgical Scene Reconstruction [arxiv 2024.01]
🌐 Project Page💻 Code
- 📄 Paper3. Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting [arxiv 2024.01]
💻 Code
- 📄 Paper4. Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes [arxiv 2024.01]
💻 Code
Showing a sample of 97 resources. View the full list on GitHub →