vanilla.md

Vanilla GANs

Here're some resources about Vanilla GANs

Nips 2016 tutorial: Generative adversarial networks

paper link: here

citation:

@article{goodfellow2016nips,
  title={Nips 2016 tutorial: Generative adversarial networks},
  author={Goodfellow, Ian},
  journal={arXiv preprint arXiv:1701.00160},
  year={2016}
}

Generative visual manipulation on the natural image manifold

paper link: here

citation:

@inproceedings{zhu2016generative,
  title={Generative visual manipulation on the natural image manifold},
  author={Zhu, Jun-Yan and Kr{\"a}henb{\"u}hl, Philipp and Shechtman, Eli and Efros, Alexei A},
  booktitle={Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V 14},
  pages={597--613},
  year={2016},
  organization={Springer}
}

here's a notebook about generating human faces on CelebA dataset using DCGAN: here

Unsupervised representation learning with deep convolutional generative adversarial networks

paper link: here

citation:

@article{radford2015unsupervised,
  title={Unsupervised representation learning with deep convolutional generative adversarial networks},
  author={Radford, Alec and Metz, Luke and Chintala, Soumith},
  journal={arXiv preprint arXiv:1511.06434},
  year={2015}
}

Generative adversarial nets

paper link: here

citation:

@article{goodfellow2014generative,
  title={Generative adversarial nets},
  author={Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={Advances in neural information processing systems},
  volume={27},
  year={2014}
}

here's a notebook about generating camel drawing on QuickDraw dataset using vanilla GAN: here