An official PyTorch Implementation of paper "Spatially Constrained GAN for Face and Fashion Synthesis"
This repo is still under construction
By Songyao Jiang, Hongfu Liu, Yue Wu and Yun Fu.
Smile Lab @ Northeastern University
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Download CelebA Dataset. We used their aligned&cropped version. Preprocessed segmentation data for CelebA is provided at GoogleDrive.
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Download DeepFashion Dataset. We used their Fashion Synthesis Subset
bash scripts/train_celeba_command.sh
bash scripts/train_fashion_command.sh
bash scripts/test_celeba_command.sh
bash scripts/test_fashion_command.sh
If you find this repo useful in your research, please consider citing
@inproceedings{jiang2021spatially,
title={Spatially Constrained GAN for Face and Fashion Synthesis},
author={Jiang, Songyao and Hongfu Liu and Yue Wu and Fu, Yun},
booktitle={2021 16th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2021)},
year={2021},
organization={IEEE}
}
@inproceedings{jiang2019segmentation,
title={Segmentation guided image-to-image translation with adversarial networks},
author={Jiang, Songyao and Tao, Zhiqiang and Fu, Yun},
booktitle={2019 14th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2019)},
pages={1--7},
year={2019},
organization={IEEE}
}