Code for paper "A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction". Accepted by IEEE Transactions on Circuits and Systems for Video Technology.
- h5py
- Tensorflow
Get the example human3.6m dataset on exponential map format.
git clone https://github.com/Yutasq/quadruple_motion_prediction.git
cd quadruple_motion_prediction
mkdir data
cd data
wget http://www.cs.stanford.edu/people/ashesh/h3.6m.zip
unzip h3.6m.zip
rm h3.6m.zip
cd ..Training from scratch: python translate.py
Save poses: python translate.py --sample --iterations 50000 --load 50000
Evaluation: To reproduce the results from our paper, run python evaluate.py
Visualization: python forward_kinematics.py The action type and seed can be changed inside this file.
@article{men20quadruple,
author={Men, Qianhui and Ho, Edmond S. L. and Shum, Hubert P. H. and Leung, Howard},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction},
year={2020},
doi={10.1109/TCSVT.2020.3038145},
publisher={IEEE},
}