[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
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Updated
Jul 30, 2024 - Python
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
This paper is accepted by ICCV 2021.
A Python2 implementation of single image haze removal
EDN-GTM Scheme for Single Image Dehazing
This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.
This is the project page of our paper which has been published in ECCV 2020.
Conditional Wasserstein Generative Adversarial Network for image-to-image translation.
This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach
The code for haze removal using dark channel prior, which was a part of the self-driving car project
Code of the paper "Learning a Patch Quality Comparator for Single Image Dehazing"
[INFOCOM 2019] ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System
This is an python implementation of "single image haze removal using dark channel prior"
Haze Removal tool using Dark Channel Prior. Based on work by Kaiming He.
Distillation of Efficient Dehazing Networks via Soft Knowledge
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