ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.10747
  4. Cited By
Learning Multiple Probabilistic Degradation Generators for Unsupervised
  Real World Image Super Resolution

Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution

26 January 2022
Sangyun Lee
Sewoong Ahn
Kwangjin Yoon
ArXivPDFHTML

Papers citing "Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution"

5 / 5 papers shown
Title
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Y. Huang
Tomo Miyazaki
Xiao-Fang Liu
S. Omachi
SupR
74
10
0
21 Feb 2025
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
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
121
167
0
20 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
180
5,138
0
16 Sep 2016
1