Optical Flow for Video Super-Resolution: A Survey

20 March 2022

Papers citing "Optical Flow for Video Super-Resolution: A Survey"

4 / 4 papers shown

Title
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation Hyun-Joo Jung Zhuo Hui Lei Luo Haitao Yang Feng Liu S. Yoo Rakesh Ranjan D. Demandolx 3DPC 24 13 0 29 Mar 2023
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution Gang Xu Jun Xu Zhen Li Liang Wang Xing Sun Ming-Ming Cheng SupR 63 91 0 21 Apr 2021
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution Alice Lucas Santiago López-Tapia Rafael Molina Aggelos K. Katsaggelos GAN SupR 31 171 0 14 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 183 5,138 0 16 Sep 2016