most citedCombating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 2 cited

Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues

Ricard Durall, Avraam Chatzimichailidis, Peter Labus +1

Generative adversarial networks (GANs) provide state-of-the-art results in image generation. However, despite being so powerful, they still remain very challenging to train. This i…