Adversarial semantic augmentation estimates feature covariances of real and generated images and optimizes an upper bound of the expected adversarial loss, improving limited-data GAN training without image-level augmentation.
Unpaired image-to- image translation using cycle-consistent adversarial networks,
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Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
Adversarial semantic augmentation estimates feature covariances of real and generated images and optimizes an upper bound of the expected adversarial loss, improving limited-data GAN training without image-level augmentation.