Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network

10 July 2019

Papers citing "Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network"

6 / 6 papers shown

Title
Prompt-In-Prompt Learning for Universal Image Restoration Zilong Li Yiming Lei Chenglong Ma Junping Zhang Hongming Shan VLM 39 25 0 08 Dec 2023
Relationship Quantification of Image Degradations Wenxin Wang Boyun Li Yuanbiao Gou Peng Hu Wangmeng Zuo Xiaocui Peng 30 5 0 08 Dec 2022
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network Sijin Kim Namhyuk Ahn Kyung-ah Sohn 31 7 0 30 Sep 2020
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions Masanori Suganuma Xing Liu Takayuki Okatani 85 82 0 03 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 201 5,176 0 16 Sep 2016
DehazeNet: An End-to-End System for Single Image Haze Removal Bolun Cai Xiangmin Xu Kui Jia Chunmei Qing Dacheng Tao 117 2,401 0 28 Jan 2016