Code for SEEG: Semantic Energized Co-speech Gesture Generation

SEEG

This project is a pytorch implementation of SEEG: Semantic Energized Co-speech Gesture Generation.

Environment & Training

This repository is developed and tested on Ubuntu 18.04, Python 3.6+, and PyTorch 1.3+. The environment is the same to Trimodal Context.

This project is mainly developed based on Trimodal Context. You can run this project by bash train.sh or the same commands in Trimodal Context.

Citation

Please cite our CVPR2022 paper if you find our SEEG is helpful in your work:

@inproceedings{liang2022seeg,
  title={SEEG: Semantic Energized Co-speech Gesture Generation},
  author={Liang, Yuanzhi and Feng, Qianyu and Zhu, Linchao and Hu, Li and Pan, Pan and Yang, Yi}, 
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2022}
}

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Jul 27, 2022