A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs

Chang Wan, Ke Fan, Xinwei Sun +4

This paper introduces a promising alternative method for training Generative Adversarial Networks (GANs) on large-scale datasets with clear theoretical guarantees. GANs are typical…