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"

9 / 9 papers shown

Title
Mitigating Artifacts in Real-World Video Super-Resolution Models Liangbin Xie Xintao Wang Shu Shi Jinjin Gu Chao Dong Ying Shan 51 20 0 14 Dec 2022
Flow Guidance Deformable Compensation Network for Video Frame Interpolation Pengcheng Lei Faming Fang Guixu Zhang 41 6 0 22 Nov 2022
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer Haowen Shi Zhijie Xu Kailun Yang Xiaoyue Yin Ze Wang Kaiwei Wang ViT 55 5 0 21 Nov 2022
Temporal Consistency Learning of inter-frames for Video Super-Resolution Meiqin Liu Shuo Jin Chao Yao Chunyu Lin Yao Zhao SupR 62 26 0 03 Nov 2022
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging Qian Ye Masanori Suganuma Jun Xiao Takayuki Okatani 23 3 0 06 Jul 2022
Recurrent Video Restoration Transformer with Guided Deformable Attention Christos Sakaridis Yuchen Fan Xiaoyu Xiang Rakesh Ranjan Eddy Ilg Simon Green Jingyun Liang Peng Sun Radu Timofte Luc Van Gool 65 155 0 05 Jun 2022
VRT: A Video Restoration Transformer Christos Sakaridis Jingyun Liang Yuchen Fan Peng Sun Rakesh Ranjan Yawei Li Radu Timofte Luc Van Gool ViT 67 253 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 139 139 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 237 5,187 0 16 Sep 2016