A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

26 Jun 2020Steffen CzolbeOswin KrauseIngemar CoxChristian Igel

To train Variational Autoencoders (VAEs) to generate realistic imagery requires a loss function that reflects human perception of image similarity. We propose such a loss function based on Watson's perceptual model, which computes a weighted distance in frequency space and accounts for luminance and contrast masking... (read more)

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