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DeSRA: Detect and Delete the Artifacts of GAN-based Real-World
  Super-Resolution Models

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

5 July 2023
Liangbin Xie
Xintao Wang
Xiangyu Chen
Gengyan Li
Ying Shan
Jiantao Zhou
Chao Dong
ArXivPDFHTML

Papers citing "DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models"

5 / 5 papers shown
Title
Auto-Encoded Supervision for Perceptual Image Super-Resolution
MinKyu Lee
Sangeek Hyun
Woojin Jun
Jae-Pil Heo
SupR
89
0
0
28 Nov 2024
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World
  Image Super-Resolution
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution
Aiwen Jiang
Zhi Wei
Long Peng
Feiqiang Liu
Wenbo Li
Mingwen Wang
DiffM
40
2
0
24 Jun 2024
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation
  and Alignment
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
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
69
168
0
05 May 2020
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
K. Zhang
Luc Van Gool
Radu Timofte
SupR
108
535
0
23 Mar 2020
1