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Welcome to VAST AI Research 👋

We are VAST, the research team behind Tripo - an advanced Generative AI platform revolutionizing 3D content creation. Our mission is to revolutionize the way 3D content is created through advanced AI technology.

🌟 Featured Projects

Highlights

  • TripoSG: High-Fidelity 3D Shape Generation using Large-Scale Rectified Flow Models
  • TripoSF: High-Resolution and Arbitrary-Topology 3D Shape Generation with SparseFlex
  • TripoSR: Fast 3D Object Generation from a Single Image

Tools & Integration

🛠️ Getting Started

Quickly start integrating and deploying our solutions:

  • Python SDK: Check out tripo-python-sdk
  • ComfyUI Integration: Explore ComfyUI-Tripo
  • Server Deployment: Set up with tripo-mcp

📚 Documentation & Resources

Each project repository includes extensive documentation:

  • ✅ Installation Guides
  • ✅ API Docs
  • ✅ Usage Examples
  • ✅ Best Practices & Tips

🔬 Featured Research

Explore our latest groundbreaking projects published at premier conferences:

  • 🏅 UniRig: One Model to Rig Them All: Diverse Skeleton Rigging with UniRig [Code]

  • 🏅 HoloPart: Generative 3D Part Amodal Segmentation [Code]

  • 🏅 MIDI-3D: [CVPR 2025] Multi-Instance Diffusion for Single Image to 3D Scene Generation [Code]

  • 🏅 TEXGen: [SIGGRAPH Asia 2024] A Generative Diffusion Model for Mesh Textures (Best Paper Honorable Mention🎉) [Code]

  • 🏅 MV-Adapter: Multi-view Consistent Image Generation Made Easy [Code]

  • 🏅 Deformable Radial Kernel Splatting: [CVPR 2025] Extending Gaussian Splatting into a More General and Flexible Framework [Code]

  • 🏅 Wonder3D: [CVPR 2024] Single Image to 3D using Cross-Domain Diffusion [Code]

  • 🏅 TriplaneGaussian: [CVPR 2024] A New Hybrid Representation for Single-View 3D Generation [Code]

👉 See the full list of our research projects

🤝 Contribute to Our Mission

We welcome contributions from the community! Please check individual project repositories and become part of the future of 3D generative AI.

📄 Licensing

Our projects primarily use open-source licenses such as MIT and Apache-2.0. Please check individual repositories for specific licensing information.

📫 Contact

For questions, discussions, or collaboration proposals, please open an issue in the respective repository or reach out through GitHub discussions.


✨ Stay ahead of the curve by following VAST AI Research for advancements in AI-powered 3D! ✨

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