A multi-view SMPL fitting based on smplify-x
conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=10.0 -c pytorch
pip install -r requirements.txt
Download the netural model from SMPLify website and the male/female model from SMPL website. Then, rename the .pkl files and put them in models/smpl
folder. (see models/smpl/readme.txt)
Run python code/main.py
@article{outdoor,
title = {Outdoor Markerless Motion Capture with Sparse Handheld Video Cameras},
author = {Yangang Wang, Yebin Liu, Xin Tong, Qionghai Dai and Ping Tan},
booktitle = {IEEE Transactions on Visualization and Computer Graphics},
year = {2018}
}
@inproceedings{SMPL-X:2019,
title = {Expressive Body Capture: 3D Hands, Face, and Body from a Single Image},
author = {Pavlakos, Georgios and Choutas, Vasileios and Ghorbani, Nima and Bolkart, Timo and Osman, Ahmed A. A. and Tzionas, Dimitrios and Black, Michael J.},
booktitle = {Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
year = {2019}
}