Perceiving and Modeling Density is All You Need for Image Dehazing

18 November 2021

Papers citing "Perceiving and Modeling Density is All You Need for Image Dehazing"

9 / 9 papers shown

Title
MixDehazeNet : Mix Structure Block For Image Dehazing Network Liping Lu Qian Xiong Duanfeng Chu Bingrong Xu 45 27 0 28 May 2023
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising Miaoyu Li Ji Liu Ying Fu Yulun Zhang Dejing Dou ViT 13 57 0 03 Apr 2023
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention Zixuan Chen Zewei He Zhe-ming Lu 29 177 0 12 Jan 2023
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal Yeying Jin Wending Yan Wenhan Yang R. Tan 37 38 0 06 Oct 2022
Rethinking Performance Gains in Image Dehazing Networks Yuda Song Yang Zhou Hui Qian Xin Du SSeg 28 48 0 23 Sep 2022
Source-Free Domain Adaptation for Real-world Image Dehazing Huikang Yu Jie Huang Yajing Liu Qibang Zhu Man Zhou Fengmei Zhao 33 35 0 14 Jul 2022
Contrastive Learning for Compact Single Image Dehazing Haiyan Wu Yanyun Qu Shaohui Lin J. Zhou Ruizhi Qiao Zhizhong Zhang Yuan Xie Lizhuang Ma 127 565 0 19 Apr 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 125 1,450 0 04 Feb 2021
DehazeNet: An End-to-End System for Single Image Haze Removal Bolun Cai Xiangmin Xu Kui Jia Chunmei Qing Dacheng Tao 117 2,400 0 28 Jan 2016