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

26 January 2022

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

8 / 8 papers shown

Title
Infrared Image Super-Resolution: Systematic Review, and Future Trends Y. Huang Tomo Miyazaki Xiao-Fang Liu S. Omachi SupR 96 10 0 21 Feb 2025
Infrared Image Super-Resolution via GAN Y. Huang S. Omachi GAN 29 0 0 01 Dec 2023
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling Wanjie Sun Zhenzhong Chen SupR 33 0 0 08 Oct 2023
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN Y. Huang Qingzhong Wang S. Omachi OOD MedIm 25 10 0 05 Aug 2022
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 85 170 0 05 May 2020
Unsupervised Learning for Real-World Super-Resolution Andreas Lugmayr Martin Danelljan Radu Timofte SSL SupR 137 167 0 20 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
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 195 5,176 0 16 Sep 2016