BCNet

This repository includes the some source code and related dataset of paper BCNet: Learning Body and Cloth Shape from A Single Image, ECCV 2020, https://arxiv.org/abs/2004.00214.

Authors: Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, and Hujun Bao.

Note that all of the code and dataset can be only used for research purposes. If you are interested in business purposes/for-profit use, please contact Juyong Zhang (the corresponding author, email: juyong@ustc.edu.cn).

Dataset

1. Synthetic Dataset

Download and visualization the Synthetic Dataset follow the instruction in body_garment_dataset.

2. HD Texture Dataset

For now, we are unable to release the full training data due to the restriction of commertial scans.

Inference

1. Install

Download the trained model and mv to the "models" folder.
Download the tmps data in body_garment_dataset.
This code is compatible with python 3.7 and pytorch 1.6. In addition, the following packages are required: numpy, torch_geometric 1.5, openmesh, opencv... You can create an anaconda environment called BCNet with the required dependencies by running:

conda env create -f environment.yml
conda activate BCNet

2. Usage

You can generate the results in recs for example images by running the code:

cd code
python infer.py --inputs ../images --save-root ../recs

Citation

Please cite the following paper if it helps your research:

@inproceedings{jiang2020bcnet,
  title={BCNet: Learning Body and Cloth Shape from A Single Image},
  author={Jiang, Boyi and Zhang, Juyong and Hong, Yang and Luo, Jinhao and Liu, Ligang and Bao, Hujun},
  booktitle={European Conference on Computer Vision},
  year={2020},
  organization={Springer}
}

WYK96 / BCNet