Conclusion for Generative Adversarial Networks

Overview

1. GAN
2. DCGAN
3. CGAN
4. improv GAN
5. LapGAN
6. info-GAN
7. WGAN

1. GAN

The basic GAN model was proposed by Ian Goodfellow in 2014.
This model include 2 Parts: generative model and discriminate model:

Generative model

The generative model intend to produce the sample close to real sample.

Discriminate model

The discriminator intend to improve the ability to judge whether the sample is real.