GAN — GAN Series (from the beginning to the end)

A full listing of our articles covers the applications of GAN, the issues, and the solutions.

GAN — A comprehensive review into the gangsters of GANs (Part 1)

GAN — A comprehensive review into the gangsters of GANs (Part 2)

Basic

GAN — What’s GAN Generative Adversary Networks?

GAN — Some cool applications of GANs.

GAN — How to measure GAN performance?

Showcase

GAN — CycleGAN

GAN — Super Resolution GAN (SRGAN)

GAN Issues

GAN — Why it is so hard to train Generative Advisory Networks!

General GAN Improvements

GAN — Ways to improve GAN performance

Improving the Network design

GAN — DCGAN (deep convolutional generative adversarial networks)

GAN — CGAN & InfoGAN (using labels to improve GAN)

GAN — Stacked Generative Adversarial Networks (SGAN)

GAN — Progressive growing of GANs

GAN — Self-Attention Generative Adversarial Networks (SAGAN)

GAN — Spectral Normalization

GAN — StyleGAN & StyleGAN2

Improving the cost function

GAN — LSGAN (How to be a good helper?)

GAN — Wasserstein GAN & WGAN-GP

GAN — Energy based GAN (EBGAN) & Boundary Equilibrium GAN (BEGAN)

GAN — RSGAN & RaGAN (A new generation of cost function.)

GAN — What is wrong with the GAN cost function?

GAN- Does LSGAN, WGAN, WGAN-GP or BEGAN matter?

Proof (GAN optimal point)

GAN — DRAGAN

Optimization

GAN — Unrolled GAN (how to reduce mode collapse)