pip install -r requirements.txt
python run.py --con ./m21_data/content/jumping-jack.bvh --sty ./m21_data/style/OLD-2.bvh
The original BVH file is saved to ./output/original/OLD-2_jumping-jack.bvh, while the version with removed foot sliding is saved to ./output/remove_fs/OLD-2_jumping-jack.bvh.
More examples:
python run.py --con ./m21_data/content/hop.bvh --sty ./m21_data/style/STR-1.bvh
python run.py --con ./m21_data/content/kick.bvh --sty ./m21_data/style/DEPRESSED.bvh
The implementation of the graph neural network and the StyleNet in this repository is from the following repository:
https://github.com/DK-Jang/motion_puzzle
Also, we would like to thank the following teams for providing us with mocap data:
CMU dataset: http://mocap.cs.cmu.edu/ and https://github.com/una-dinosauria/cmu-mocap
BFA dataset: https://github.com/DeepMotionEditing/deep-motion-editing
XIA dataset: https://github.com/DeepMotionEditing/deep-motion-editing and http://faculty.cs.tamu.edu/jchai/projects/SIG15/style-final.pdf