Parametric Adversarial Divergences are Good Losses for Generative Modeling

Gabriel Huang, Hugo Berard, Ahmed Touati +3

Parametric adversarial divergences, which are a generalization of the losses used to train generative adversarial networks (GANs), have often been described as being approximations…