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Single Image Dehazing
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JiaxiHe/Image-and-Video-Dehazing
공식 코드Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization
https://github.com/MKFMIKU/PFFNet
공식 코드Progressive Feature Fusion Network for Realistic Image Dehazing
https://github.com/Owen718/Perceiving-and-Modeling-Density-is-All-You-Need-for-Image-Dehazing
공식 코드Perceiving and Modeling Density is All You Need for Image Dehazing
https://github.com/Seanforfun/Deep-Learning
공식 코드Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
https://github.com/Seanforfun/GMAN_Net_Haze_Removal
공식 코드Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
https://github.com/Troivyn/HazeCLIP
공식 코드https://github.com/XLearning-SCU/2021-IJCV-YOLY
공식 코드You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
https://github.com/XLearning-SCU/2025-CVPR-MaIR
공식 코드MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
https://github.com/YesianRohn/CL2S
공식 코드Rethinking the Elementary Function Fusion for Single-Image Dehazing
https://github.com/algolzw/image-restoration-sde
공식 코드Image Restoration with Mean-Reverting Stochastic Differential Equations
https://github.com/aupendu/iterative-dehaze
공식 코드Progressive Update Guided Interdependent Networks for Single Image Dehazing
https://github.com/awesomehwang/wavedh
공식 코드WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
https://github.com/ayu-22/BPPNet-Back-Projected-Pyramid-Network
공식 코드Single image dehazing for a variety of haze scenarios using back projected pyramid network
https://github.com/chaimi2013/FAMED-Net
공식 코드FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network
https://github.com/danaberman/underwater-hl
공식 코드Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
https://github.com/dectrfov/Y-net
공식 코드https://github.com/engindeniz/Cycle-Dehaze
공식 코드https://github.com/eunwooim/variational-dehazing-networks
공식 코드Deep Variational Bayesian Modeling of Haze Degradation Process
https://github.com/guanlongzhao/dehaze
공식 코드Improved Techniques for Learning to Dehaze and Beyond: A Collective Study
https://github.com/guanlongzhao/single-image-dehazing
공식 코드https://github.com/guijiejie/aadn
공식 코드https://github.com/idkiro/gunet
공식 코드https://github.com/imeunu/variational-dehazing-networks
공식 코드Deep Variational Bayesian Modeling of Haze Degradation Process
https://github.com/jeya-maria-jose/TransWeather
공식 코드TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
https://github.com/jinyeying/fogremoval
공식 코드Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
https://github.com/kritiksoman/GIMP-ML
공식 코드GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
https://github.com/liuye123321/DMT-Net
공식 코드From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
https://github.com/phoenixtreesky7/cfen-vit-dehazing
공식 코드Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing
https://github.com/pmm09c/ntire-dehazing
공식 코드https://github.com/princeton-computational-imaging/ZeroScatter
공식 코드ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
https://github.com/proteus1991/GridDehazeNet
공식 코드GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
https://github.com/robustsam/RobustSAM
공식 코드https://github.com/swu-cs-medialab/lkd-net
공식 코드LKD-Net: Large Kernel Convolution Network for Single Image Dehazing
https://github.com/tanvirnwu/hazespace2m
공식 코드https://github.com/tranleanh/edn-gtm
공식 코드A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing
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