[D] Has anyone tried GAN "tricks" on VAEs?

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  • data-efficient-gans

    [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

  • Differentiable augmentation. The authors of the paper Differentiable Augmentation for Data-Efficient GAN Training proposed this method to prevent the discriminator from overfitting on the real dataset, so this might not be as useful for VAEs - nonetheless I do wonder if data augmentation for the encoder might help it generalize better when there's limited training data.

  • ESRGAN

    ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  • Code for https://arxiv.org/abs/1809.00219 found: https://github.com/xinntao/ESRGAN

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