2020
Implicit competitive regularization in GANs
ICML 2020poster
The success of GANs is usually attributed to properties of the divergence obtained by an optimal discriminator. In this work we show that this approach has a fundamental flaw:\\{If} we do not impose regularity of the discriminator, it can exploit visually imperceptible errors of the generator to alw…