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What is: DiffAugment?

SourceDifferentiable Augmentation for Data-Efficient GAN Training
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Differentiable Augmentation (DiffAugment) is a set of differentiable image transformations used to augment data during GAN training. The transformations are applied to the real and generated images. It enables the gradients to be propagated through the augmentation back to the generator, regularizes the discriminator without manipulating the target distribution, and maintains the balance of training dynamics. Three choices of transformation are preferred by the authors in their experiments: Translation, CutOut, and Color.