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SimUSR: A Simple but Strong Baseline for Unsupervised Image
  Super-resolution

SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution

23 April 2020
Namhyuk Ahn
Jaejun Yoo
Kyung-ah Sohn
    SupR
ArXivPDFHTML

Papers citing "SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution"

4 / 4 papers shown
Title
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs
  Artifact Removal
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
Yikang Liu
Eric Z. Chen
Xiao Chen
Terrence Chen
Shanhui Sun
MedIm
35
0
0
06 Feb 2023
Learning Multiple Probabilistic Degradation Generators for Unsupervised
  Real World Image Super Resolution
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution
Sangyun Lee
Sewoong Ahn
Kwangjin Yoon
81
5
0
26 Jan 2022
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
94
170
0
05 May 2020
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
143
167
0
20 Sep 2019
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