GANs学习系列(3)：GANs main stream paper

The research for development of GANs

1.adversarial examples

1)Intriguing properties of neural networks, by Christian Szegedy at Google, et al，2014
2)Kurakin A, Goodfellow I, Bengio S.Adversarial examples in the physical world[J]. arXiv preprint arXiv:1607.02533, 2016.

2.adversarial training

Explaining and Harnessing Adversarial Examples

3.learning adversarial examples

Ian Goodfellow：Deep learning Adversarial Examples – Clarifying Misconceptions

4.main development:

GANs ->
Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets[C]//Advances in Neural Information Processing Systems. 2014: 2672-2680.

CGAN ->
Mirza M, Osindero S. Conditional Generative Adversarial Nets[J]. Computer Science, 2014:2672-2680.

LAPGAN ->
Denton E L, Chintala S, Fergus R. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks[C]//Advances in neural information processing systems. 2015: 1486-1494.

DCGAN ->
Radford A, Metz L, Chintala S.Unsupervised representation learning with deep convolutional generative adversarial networks[J]. arXiv preprint arXiv:1511.06434, 2015.

GRAN ->
m D J, Kim C D, Jiang H, et al.Generating images with recurrent adversarial networks[J]. arXiv preprint arXiv:1602.05110, 2016.

GAN + VAE ->
Larsen A B L, Sønderby S K, Winther O. Autoencoding beyond pixels using a learned similarity metric[J]. arXiv preprint arXiv:1512.09300, 2015.