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Dehazing

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/code-implementation1/Code2/tree/main/aecrnet

Contrastive Learning for Compact Single Image Dehazing

https://github.com/code-implementation1/Code9/tree/main/CycleGAN

Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

https://github.com/diptamath/Nonhomogeneous_Image_Dehazing

Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

https://github.com/dmcv-ecnu/MindSpore_ModelZoo/tree/main/AECRNet

Contrastive Learning for Compact Single Image Dehazing

https://github.com/elras/desmokenet

An All-in-One Network for Dehazing and Beyond

https://github.com/funkdub/DMGN

Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images

https://github.com/hezhangsprinter/DCPDN

Densely Connected Pyramid Dehazing Network

https://github.com/inyong37/Vision

Benchmarking Single Image Dehazing and Beyond

https://github.com/jorgmateos/uformer-google-colab

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/lucidrains/ddpm-proteins

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/lucidrains/uformer-pytorch

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/mahdi76911/LCA-Net

LCA-Net: Light Convolutional Autoencoder for Image Dehazing

https://github.com/manncodes/dehazing-openvino

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

https://github.com/megvii-research/NAFNet

Improving Image Restoration by Revisiting Global Information Aggregation

https://github.com/movingforward100/Dehazing_R

https://github.com/muditjoshi98/Image-Dehazing-Using-Residual-Based-Deep-CNN

DehazeNet: An End-to-End System for Single Image Haze Removal

https://github.com/niranjangavade98/CycleDehaze-Pytorch

Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

https://github.com/niuqj/SAD-Net

https://github.com/pranoy-panda/ICAPR2017_Dehazing

Image Dehazing via Joint Estimation of Transmittance Map and Environmental Illumination

https://github.com/pwc-1/Paper-9/tree/main/3/AECRNet

Contrastive Learning for Compact Single Image Dehazing

https://github.com/saikatdutta/Stacked_DMSHN_bokeh

Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

https://github.com/saintazunya/DehazeNet

DehazeNet: An End-to-End System for Single Image Haze Removal

https://github.com/sanchitvj/Image-Dehazing-using-GMAN-net

Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing

https://github.com/sayakpaul/maxim-tf

MAXIM: Multi-Axis MLP for Image Processing

https://github.com/setsunil/dsdnet

Improving Image Restoration by Revisiting Global Information Aggregation

https://github.com/sidharthscorpio/color-constancy-prior

https://github.com/soumik12345/AODNet

An All-in-One Network for Dehazing and Beyond

https://github.com/sureshcrwr/Estimation-of-Minimum-Color-Channel-using-Difference-Channel-in-Single-Image-Dehazing

https://github.com/sureshcrwr/Lower-Bound-on-Transmission-using-Non-Linear-Bounding-Function-in-Single-Image-Dehazing

https://github.com/thatbrguy/Dehaze-GAN

Single Image Haze Removal using a Generative Adversarial Network

https://github.com/tijsmaas/TrafficPrediction

GMAN: A Graph Multi-Attention Network for Traffic Prediction

https://github.com/v1t0ry/OTM-AAL

I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images

https://github.com/vztu/maxim-pytorch

MAXIM: Multi-Axis MLP for Image Processing

https://github.com/yossigandelsman/DoubleDIP

"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors

https://github.com/youreternity1997/Image-dehazing-FFA-Net

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.