Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images

Junbang Liang, Ming C. Lin ICCV 2019

Project Page

Requirements

• Python 2.7
• TensorFlow tested on version 1.3

Demo

1. Download the pre-trained models

2. Run the demo

python -m demo --img_paths ${your_image_paths_separated_by_commas}

Images should be cropped so that the height of the person is roughly 2/3 of the image height. Please check demo.py for more details.

Training and Data

Please see doc/train.md.

Citation

If you use this code for your research, please consider citing:

@inProceedings{liang2019shape,
  title={Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images},
  author = {Junbang Liang
  and Ming C. Lin},
  booktitle={International Conference on Computer Vision (ICCV)},
  year={2019}
}

Acknowledgement

This project is derived from HMR. If you have any question, feel free to refer to the original help doc or email [email protected]. This work is supported by National Science Foundation and Elizabeth S. Iribe Professorship.