记录一些常见GAN的学习资料

1.DCGAN （DCGAN — Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks）

【Paper】 ：

            http://arxiv.org/abs/1511.06434

【github】 :

            https://github.com/carpedm20/DCGAN-tensorflow  tensorflow

            https://github.com/jacobgil/keras-dcgan    keras

            https://github.com/soumith/dcgan.torch  torch

2.WGAN（Wasserstein GAN）

【paper】: 

            https://arxiv.org/abs/1701.07875

【GitHub】：

            https://github.com/hwalsuklee/tensorflow-generative-model-collections

            https://github.com/Zardinality/WGAN-tensorflow
 

3.WGAN-GP (Improved Training of Wasserstein GAN)
【paper】:

            https://arxiv.org/abs/1704.00028

【GitHub】:

           https://link.zhihu.com/?target=https%3A//github.com/igul222/improved_wgan_training

           https://github.com/caogang/wgan-gp
 

4.LSGAN (Least Squares Generative Adversarial Networks)

【paper】

            https://arxiv.org/abs/1611.04076

【github】

            https://github.com/hwalsuklee/tensorflow-generative-model-collections

            https://github.com/guojunq/lsgan
 

5.BEGAN (Boundary Equilibrium GAN)

【paper】：

            https://arxiv.org/abs/1703.10717

【GitHub】：

            https://github.com/carpedm20/BEGAN-tensorflow

            https://github.com/Heumi/BEGAN-tensorflow

            https://github.com/carpedm20/BEGAN-pytorch
 

• GAN论文汇总，包含code：zhangqianhui/AdversarialNetsPapers