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Perceptual Adversarial Networks (PAN) for Image-to-Image Transformation

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PAN

Perceptual Adversarial Networks (PAN) for Image-to-Image Transformation.

Getting started

  • Clone this repo:
git clone https://github.com/WANG-Chaoyue/PAN.git
cd PAN

Datasets

The training datasets were similar pix2pix. Therefore, we borrowed the code of dataset download from them.

  • Download facades dataset:
bash ./datasets/download_pix2pix_dataset.sh facades
@inproceedings{isola2017image,
  title={Image-to-Image Translation with Conditional Adversarial Networks},
  author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A},
  booktitle={Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on},
  year={2017}
}

Training

  • Train a model
python train_facades.py

Test

  • Test a model
python test_facades.py

Citation

If you use this code for your research, please cite our paper.

@article{wang2018perceptual,
  title={Perceptual adversarial networks for image-to-image transformation},
  author={Wang, Chaoyue and Xu, Chang and Wang, Chaohui and Tao, Dacheng},
  journal={IEEE Transactions on Image Processing},
  volume={27},
  number={8},
  pages={4066--4079},
  year={2018},
  publisher={IEEE}
}

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