2025
Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
ICLR 2025poster
Since WGANs were first introduced, there has been considerable debate whether their success in generating realistic images can be attributed to minimizing the Wasserstein distance between the distribution of generated images and the training distribution. In this paper we present theoretical and ex…