Deep Lipschitz networks and Dudley GANs

ICLR 2018 Ehsan AbbasnejadJaven ShiAnton van den Hengel

Generative adversarial networks (GANs) have enjoyed great success, however often suffer instability during training which motivates many attempts to resolve this issue. Theoretical explanation for the cause of instability is provided in Wasserstein GAN (WGAN), and wasserstein distance is proposed to stablize the training... (read more)

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