On the estimation of the Wasserstein distance in generative models

Thomas Pinetz, Daniel Soukup, Thomas Pock

Generative Adversarial Networks (GANs) have been used to model the underlying probability distribution of sample based datasets. GANs are notoriuos for training difficulties and th…