Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

14 Jun 2018Alice LucasSantiago Lopez TapiaRafael MolinaAggelos K. Katsaggelos

Video super-resolution (VSR) has become one of the most critical problems in video processing. In the deep learning literature, recent works have shown the benefits of using adversarial-based and perceptual losses to improve the performance on various image restoration tasks; however, these have yet to be applied for video super-resolution... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.