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@article{arjovsky2017towards,
title={Towards principled methods for training generative adversarial networks},
author={Arjovsky, Martin and Bottou, L{\'e}on},
journal={arXiv preprint arXiv:1701.04862},
year={2017}
}
@inproceedings{nowozin2016f,
title={f-gan: Training generative neural samplers using variational divergence minimization},
author={Nowozin, Sebastian and Cseke, Botond and Tomioka, Ryota},
booktitle={Advances in Neural Information Processing Systems},
pages={271--279},
year={2016}
}
@article{choi2017stargan,
title={Stargan: Unified generative adversarial networks for multi-domain image-to-image translation},
author={Choi, Yunjey and Choi, Minje and Kim, Munyoung and Ha, Jung-Woo and Kim, Sunghun and Choo, Jaegul},
journal={arXiv preprint},
volume={1711},
year={2017}
}
@inproceedings{yi2017dualgan,
title={DualGAN: Unsupervised Dual Learning for Image-to-Image Translation.},
author={Yi, Zili and Hao (Richard) Zhang and Tan, Ping and Gong, Minglun},
booktitle={ICCV},
pages={2868--2876},
year={2017}
}
@inproceedings{wu2018wasserstein,
title={Wasserstein Divergence for GANs},
author={Wu, Jiqing and Huang, Zhiwu and Thoma, Janine and Acharya, Dinesh and Van Gool, Luc},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
pages={653--668},
year={2018}
}
@article{zhu2017unpaired,
title={Unpaired image-to-image translation using cycle-consistent adversarial networks},
author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
journal={arXiv preprint},
year={2017}
}