DifferentiableAugmentation forData-EfficientGANTraining

Big data has enabled deep learning algorithms achieve rapid advancements. In particular, stateof-the-art generative adversarial networks (GANs) [11] are able to generate high-fidelity natural images of diverse categories [2,18]. Many computer vision and graphics applications have been enabled[32,43,53].