Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Recent research on image super-resolution (SR) has shown that the use of perceptual losses such as feature-space loss functions and adversarial training can greatly improve the perceptual quality of the resulting SR output. In this paper, we extend the use of these perceptual-focused approaches for image SR to that of …