Wasserstein GANs (WGANs)
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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
Videos
WGAN and WGAN-GP Implementation in Pytorch
Recaps GANs, briefly explains WGANs, and walks through a pytorch implementation
Posts
An extremely detailed lesson on Wasserstein GANs by Depth First Learning
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
A clear pytorch example
A clear pytorch example of WGAN with gradient clipping
A WGAN implementation from the Awesome GANs repo
Courses
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!