MAGAN: Margin Adaptation for Generative Adversarial Networks

Ruohan Wang, Antoine Cully, Hyung Jin Chang +1

We propose the Margin Adaptation for Generative Adversarial Networks (MAGANs) algorithm, a novel training procedure for GANs to improve stability and performance by using an adapti…