Official 🤗 Gradio Demo

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

InstantMesh is a feed-forward framework for efficient 3D mesh generation from a single image based on the LRM/Instant3D architecture.

Code: GitHub. Techenical report: ArXiv.

❗️❗️❗️Important Notes:

• Our demo can export a .obj mesh with vertex colors or a .glb mesh now. If you prefer to export a .obj mesh with a texture map, please refer to our Github Repo.
• The 3D mesh generation results highly depend on the quality of generated multi-view images. Please try a different seed value if the result is unsatisfying (Default: 42).

If InstantMesh is helpful, please help to ⭐ the Github Repo. Thanks!

📝 Citation

If you find our work useful for your research or applications, please cite using this bibtex:

@article{xu2024instantmesh,
  title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},
  author={Xu, Jiale and Cheng, Weihao and Gao, Yiming and Wang, Xintao and Gao, Shenghua and Shan, Ying},
  journal={arXiv preprint arXiv:2404.07191},
  year={2024}
}

📋 License

Apache-2.0 LICENSE. Please refer to the LICENSE file for details.

📧 Contact

If you have any questions, feel free to open a discussion or contact us at bluestyle928@gmail.com.