Distillation of Efficient Dehazing Networks via Soft Knowledge
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Updated
Oct 20, 2024 - Python
Distillation of Efficient Dehazing Networks via Soft Knowledge
Haze Removal tool using Dark Channel Prior. Based on work by Kaiming He.
This is an python implementation of "single image haze removal using dark channel prior"
[INFOCOM 2019] ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System
Code of the paper "Learning a Patch Quality Comparator for Single Image Dehazing"
The code for haze removal using dark channel prior, which was a part of the self-driving car project
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
Conditional Wasserstein Generative Adversarial Network for image-to-image translation.
This is the project page of our paper which has been published in ECCV 2020.
DGNL-Net and RainCityscapes
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.
EDN-GTM for Single Image Dehazing
A Python2 implementation of single image haze removal
This paper is accepted by ICCV 2021.
python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
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