FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring

8 January 2024

Papers citing "FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring"

7 / 7 papers shown

Title
Event-Enhanced Blurry Video Super-Resolution Dachun Kai Yueyi Zhang Jin Wang Zeyu Xiao Zhiwei Xiong Xiaoyan Sun SupR 38 0 0 17 Apr 2025
Solving Video Inverse Problems Using Image Diffusion Models Taesung Kwon Jong Chul Ye DiffM 27 3 0 04 Sep 2024
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models Chang-Han Yeh Chin-Yang Lin Zhixiang Wang Chi-Wei Hsiao Ting-Hsuan Chen Hau-Shiang Shiu Yu-Lun Liu VGen DiffM 42 5 0 01 Jul 2024
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment Kelvin C. K. Chan Shangchen Zhou Xiangyu Xu Chen Change Loy 149 388 0 27 Apr 2021
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution Wenbo Li Xin Tao Taian Guo Lu Qi Jiangbo Lu Jiaya Jia SupR 129 135 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 183 5,138 0 16 Sep 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 124 7,284 0 05 Jun 2015