JingLi513 / Audio2Gestures

Audio2Motion Official implementation for Audio2Motion: Generating Diverse Gestures from Speech with Conditional Variational Autoencoders.

Audio2Gestures

Official implementation for Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders， ICCV

Dependencies

• pytorch
• numpy
• librosa
• fbx
• smplx 1.0

Data Processing

1. Download fbx format data from Trinity speech gesture.
2. Retarget the data into SMPLX model using maya.
3. convert the fbx data to hdf5 format using script fbx2hdf.py

Training and testing

Run script bash start.sh

Visualizing

Run script python .\smplx2fbx.py --smplx .\for_smplx_retargeting.h5 --key LclRotation --fps 30 --synthesized .\input.h5 --fbx output.fbx

Reference

If you find our code useful for your research, please cite our paper.

@inproceedings{li2021audio2gestures,
title={Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders},
author={Li, Jing and Kang, Di and Pei, Wenjie and Zhe, Xuefei and Zhang, Ying and He, Zhenyu and Bao, Linchao},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={11293--11302},
year={2021}
}