Recently, researchers from MIT, Adobe Research and Tsinghua University introduced a technique that improves the data efficiency of GAN models by imposing various types of differentiable augmentations on both real and fake samples. The method is known as DiffAugment or Differentiable Augmentation. Generative Adversarial Networks (GANs) have achieved many advancements over a few years now.…

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