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Generative Adversarial Networks(GANs)

python pytorch GANs

This repo includes implementation of different types of GANs

Results

Vanilla GAN

Vanilla GAN output

Pix2Pix

Pix2Pix GAN output

References

[1] Generative Adversarial Nets

@article{goodfellow2014generative,
  title={Generative adversarial networks},
  author={Goodfellow, Ian J and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.2661},
  year={2014}
}

[2] Image-to-Image Translation with Conditional Adversarial Nets

@article{pix2pix2017,
  title={Image-to-Image Translation with Conditional Adversarial Networks},
  author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A},
  journal={CVPR},
  year={2017}
}

[3] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

@inproceedings{CycleGAN2017,
  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},
  booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
  year={2017}
}

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Implementations of different Generative Adversarial Networks

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