Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?

Egor Kashkarov, Egor Chistov, Ivan Molodetskikh +1

Perceptual losses play an important role in constructing deep-neural-network-based methods by increasing the naturalness and realism of processed images and videos. Use of perceptu…