Dehazing-learning paper and code

Supervised Dehazing

1.A spectral grouping-based deep learning model for haze removal of hyperspectral images, ISPRS 2022: https://github.com/SZU-AdvTech-2022/158-A-Spectral-Grouping-based-Deep-Learning-Model-for-Haze-Removal-of-Hyperspectral-Images 2.FFA-Net: Feature Fusion Attention Network for Single Image Dehazing, AAAI 2020: https://github.com/zhilin007/FFA-Net

Semi-Supervised Dehazing

1.Semi-Supervised Domain Alignment Learning for Single Image Dehazing, IEEE TCYB 2022: https://github.com/WeilanAnnn/SDA-GAN 2.Semi-supervised single image dehazing, TIP 2020: https://github.com/Prevalenter/semi-dehazing

Weakly Supervised Dehazing

1.Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion, ISPRS 2020: https://github.com/Neooolee/CR-GAN-PM

2.RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing, TIP 2021: https://github.com/xiaofeng94/RefineDNet-for-dehazing, https://github.com/E-LONER/RefineDNet

3.DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement, 2017 https://arxiv.org/abs/1712.00621