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· 2018

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman et al.

Short summary

Deep features from neural networks, trained on ImageNet, significantly outperform traditional metrics like PSNR and SSIM in judging perceptual image similarity, a finding that holds across various network architectures and training methods.

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Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science