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