On the Generalization of BasicVSR++ to Video Deblurring and Denoising

11 April 2022

Papers citing "On the Generalization of BasicVSR++ to Video Deblurring and Denoising"

8 / 8 papers shown

Title
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution? Egor Kashkarov Egor Chistov Ivan Molodetskikh D. Vatolin SupR 54 3 0 30 May 2024
ProPainter: Improving Propagation and Transformer for Video Inpainting Shangchen Zhou Chongyi Li Kelvin C. K. Chan Chen Change Loy ViT 35 90 0 07 Sep 2023
Recurrent Self-Supervised Video Denoising with Denser Receptive Field Zichun Wang Yulun Zhang Debing Zhang Ying Fu 42 8 0 07 Aug 2023
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration Man Zhou Naishan Zheng Jie Huang Chunle Guo Chongyi Li 29 2 0 29 Mar 2023
Reference-based Image and Video Super-Resolution via C2-Matching Yuming Jiang Kelvin C. K. Chan Xintao Wang Chen Change Loy Ziwei Liu SupR 33 8 0 19 Dec 2022
Imaging through the Atmosphere using Turbulence Mitigation Transformer Xingguang Zhang Zhiyuan Mao Nicholas Chimitt Stanley H. Chan ViT 32 31 0 13 Jul 2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones Junyi Li Xiaohe Wu Zhenxing Niu W. Zuo 20 19 0 12 Apr 2022
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment Kelvin C. K. Chan Shangchen Zhou Xiangyu Xu Chen Change Loy 160 392 0 27 Apr 2021