TailorGAN: Making User-Defined Fashion Designs.
- paper link: https://arxiv.org/abs/2001.06427
- Linux system or MacOS
- Python 3.6, PyTorch version 1.1.0
- NVIDIA GPU + CUDA
- Install PyTorch and dependencies from http://pytorch.org
- Default, using test.py file to synthesize the garment from the images in the example folder. Pre-trained checkpoints download needed and as the instruction in the checkpoints folder to download.
$ python test.py- Sample results are presented in the example folder.
- Training process is divided into two parts, the first part is reconstruction, using following command to train first step, and putting the checkpoints to corresponding folder to train second step.
$ python collarRecon.py --step step1- Second step, using following command:
$ python collarSyn.py --step step2- The dataset is available online, please download it from the link: https://drive.google.com/open?id=11WMP0uCgzF--Kt18Dwh75Ja-nK1llMcx, and put it under the /data foler.
- If you think our work is useful, please use the following:
@misc{chen2020tailorgan,
title={TailorGAN: Making User-Defined Fashion Designs},
author={Lele Chen and Justin Tian and Guo Li and Cheng-Haw Wu and Erh-Kan King and Kuan-Ting Chen and Shao-Hang Hsieh and Chenliang Xu},
year={2020},
eprint={2001.06427},
archivePrefix={arXiv},
primaryClass={cs.CV}
}