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Benefiting from Bicubically Down-Sampled Images for Learning Real-World
  Image Super-Resolution

Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

6 July 2020
Mohammad Saeed Rad
Thomas Yu
C. Musat
H. K. Ekenel
Behzad Bozorgtabar
Jean-Philippe Thiran
    SupR
ArXivPDFHTML

Papers citing "Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution"

3 / 3 papers shown
Title
Structure Preserving Stain Normalization of Histopathology Images Using
  Self-Supervised Semantic Guidance
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
Ling Shao
MedIm
10
46
0
05 Aug 2020
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
88
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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