BEGAN: Boundary Equilibrium Generative Adversarial Networks

David Berthelot, Thomas Schumm, Luke Metz

We propose a new equilibrium enforcing method paired with a loss derived from the Wasserstein distance for training auto-encoder based Generative Adversarial Networks. This method…