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Blind Image Super-resolution with Elaborate Degradation Modeling on
  Noise and Kernel

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel

2 July 2021
Zongsheng Yue
Qian Zhao
Jianwen Xie
Lei Zhang
Deyu Meng
Kwan-Yee K. Wong
ArXivPDFHTML

Papers citing "Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel"

5 / 5 papers shown
Title
Efficient Diffusion Model for Image Restoration by Residual Shifting
Efficient Diffusion Model for Image Restoration by Residual Shifting
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
34
36
0
12 Mar 2024
ResShift: Efficient Diffusion Model for Image Super-resolution by
  Residual Shifting
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
45
213
0
23 Jul 2023
Deep learning techniques for blind image super-resolution: A high-scale
  multi-domain perspective evaluation
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluation
Valdivino Alexandre de Santiago Júnior
42
0
0
15 Jun 2023
The Best of Both Worlds: a Framework for Combining Degradation
  Prediction with High Performance Super-Resolution Networks
The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks
Matthew Aquilina
Keith George Ciantar
Christian Galea
K. Camilleri
R. Farrugia
J. Abela
28
0
0
09 Nov 2022
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
Peng Sun
Luc Van Gool
Radu Timofte
SupR
121
539
0
23 Mar 2020
1