2020
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
NeurIPS 2020poster
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 an…