Wasserstein GANs (WGANs)

Know a great resource on Wasserstein GANs? Send it to us at contactbackprop@gmail.com!

Tags: Generative Adversarial Networks

Papers

Wasserstein Generative Adversarial Networks

  • Original Paper introducing WGANs


Wasserstein GANs with Gradient Penalty

  • A paper that introduced an improvement to WGAN — WGAN-GP


On the Regularization of Wasserstein GANs

  • Another important WGAN paper explaining why the original GAN needed improvement


Lectures

Wasserstein GANs

  • Walkthrough WGANs and a few of their crucial components


Videos

WGAN and WGAN-GP Implementation in Pytorch

  • Recaps GANs, briefly explains WGANs, and walks through a pytorch implementation


Posts

Wasserstein GANs

  • An extremely detailed lesson on Wasserstein GANs by Depth First Learning


From GANs to WGANs

  • A thorough walkthrough of WGANs and where they improve on GANs


Read-through: Wasserstein GANs

  • A more digestible explanation of the WGAN with important context


Wasserstein GANs and the Kantorovich-Rubinstein Duality

  • A closer look at one of the technical aspects behind WGANs


Code Examples

WGAN example in Pytorch

  • A clear pytorch example


WGAN-GP example in Pytorch

  • A clear pytorch example of WGAN with gradient clipping


WGAN example in Tensorflow

  • A WGAN implementation from the Awesome GANs repo


Courses

Build Basic GANs - Week 3 *

  • Excellent explanation of WGANs from DeepLearning.AI’s Coursera course

  • Scroll to the bottom to see all videos


Know a great resource on Wasserstein GANs? Send it to us at contactbackprop@gmail.com!