TARig: Adaptive template-aware neural rigging for humanoid characters

sh run_tarig.sh

Please email to us if you need the annotated dataset of TARig.

Recommended workflow

1. Get a 3D character from 3DGen such as CLAY or 3D Asset Website such as Mixamo

2. Convert the character to be .obj file

3. sh run_tarig.sh

4. The skinning weights might not meet the industry standard, so we recommend you use Maya's GVB (Geodesic Voxel Binding) function.

Reference

@article{2023TARig,
  title={TARig: Adaptive template-aware neural rigging for humanoid characters},
  author={ Ma, Jing  and  Zhang, Dongliang },
  journal={Computers & graphics},
  volume={114},
  number={Aug.},
  pages={158-167},
  year={2023},
}

TARig is implemented based on https://github.com/zhan-xu/RigNet, thanks to Xu and the wonderful work of RigNet.

@article{2020RigNet,
  title={RigNet: Neural Rigging for Articulated Characters},
  author={ Xu, Zhan  and  Zhou, Yang  and  Kalogerakis, Evangelos  and  Landreth, Chris  and  Singh, Karan },
  journal={ACM Transactions on Graphics},
  year={2020},
}

TODO

1. Blender Plugin
2. More accurate skeleton generation on fingers and axuilary parts.

License

This project is under LICENSE-GPLv3.