Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

DOI10.1109/TIP.2019.2895768OpenAlexW3101569186WikidataQ91328403 ScholiaQ91328403MaRDI QIDQ5238337

Santiago López-Tapia, Alice Lucas, Aggelos K. Katsaggelos, Rafael Molina

Publication date: 28 October 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.05764

Mathematics Subject Classification ID

Information and communication theory, circuits (94-XX)

Related Items (2)

An optimal fluid optical flow registration for super-resolution with Lamé parameters learning ⋮ Deep Learning for Image/Video Restoration and Super-resolution

This page was built for publication: Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution