FDAN: Flow-guided Deformable Alignment Network for Video
Super-Resolution

FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution

12 May 2021

Liang Wang

Papers citing "FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution"

6 / 6 papers shown

Title
Flow Guidance Deformable Compensation Network for Video Frame Interpolation Pengcheng Lei Faming Fang Guixu Zhang 27 6 0 22 Nov 2022
Temporal Consistency Learning of inter-frames for Video Super-Resolution Meiqin Liu Shuo Jin Chao Yao Chunyu Lin Yao Zhao SupR 50 26 0 03 Nov 2022
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging Qian Ye Masanori Suganuma Jun Xiao Takayuki Okatani 19 3 0 06 Jul 2022
VRT: A Video Restoration Transformer Jingyun Liang Jiezhang Cao Yuchen Fan K. Zhang Rakesh Ranjan Yawei Li Radu Timofte Luc Van Gool ViT 26 251 0 28 Jan 2022
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution Wenbo Li Xin Tao Taian Guo Lu Qi Jiangbo Lu Jiaya Jia SupR 131 136 0 23 Jul 2020
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 190 5,173 0 16 Sep 2016