Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution

3 May 2020

Papers citing "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution"

8 / 8 papers shown

Title
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation H. Ateş S. Yildirim B. Gunturk SupR 20 16 0 25 Apr 2024
Real Image Super-Resolution using GAN through modeling of LR and HR process Rao Muhammad Umer C. Micheloni 22 1 0 19 Oct 2022
Real-World Single Image Super-Resolution Under Rainy Condition M. S. Uddin SupR 18 0 0 16 Jun 2022
Learning the Degradation Distribution for Blind Image Super-Resolution Zhengxiong Luo Yan Huang Shang Li Liangsheng Wang T. Tan 16 51 0 09 Mar 2022
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network Rao Muhammad Umer C. Micheloni SupR 18 2 0 25 Oct 2021
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 Andreas Lugmayr Martin Danelljan Radu Timofte SSL SupR 127 167 0 20 Sep 2019
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 190 5,138 0 16 Sep 2016