Using the Normalised Laplacian Pyramid Distance as a regularizer in conditional GANs yields modest improvements in generated image realism over L1 loss on some datasets.
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Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance
Using the Normalised Laplacian Pyramid Distance as a regularizer in conditional GANs yields modest improvements in generated image realism over L1 loss on some datasets.