Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

19 March 2021

Zheng Wang

Papers citing "Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement"

7 / 7 papers shown

Title
Brightness Perceiving for Recursive Low-Light Image Enhancement H. Wang Long Peng Yuejin Sun Zengyu Wan Yang Wang Yang Cao 70 12 0 03 Apr 2025
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement Hao Luo Baoliang Chen Lingyu Zhu Peilin Chen Shiqi Wang 3DV 65 0 0 06 Sep 2024
Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models Cheng Guo Leidong Fan Ziyu Xue Xiuhua Jiang 21 13 0 23 Mar 2023
Low-Light Video Enhancement with Synthetic Event Guidance Lin Liu Junfeng An Jianzhuang Liu Shanxin Yuan Xiangyu Chen Wen-gang Zhou Houqiang Li Yanfeng Wang Qi Tian 3DV 39 26 0 23 Aug 2022
Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement Cong Wang Jin-shan Pan Xiaomei Wu ViT 41 4 0 16 Jul 2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning Hao Li Jinghui Qin Zhi Yang Pengxu Wei Jin-shan Pan Liang Lin Yukai Shi 33 19 0 06 Jun 2022
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 190 1,165 0 04 May 2018