MemoryNet
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Code for paper: Memory Augment is All Your Need for image restoration(cloud,rain,shadow removal, low-light image enhancement, image deblur)即插即用提点的记忆模块
CB-MemoryNet:Contrastive balance learning memory net for image restoration
CB-MemoryNet:Contrastive balance learning memory net for image restoration,image shadow removal, rain removal, debulrring.
Results of Shadow removal on ISTD dataset

Quick Run
To test the pre-trained models of Decloud on your own images, run
python demo.py --task Task_Name --input_dir path_to_images --result_dir save_images_here
Pretrained model
- Download the pretrained model cloud-removal
2.Baidu Drive: 链接:https://pan.baidu.com/s/1nBNEsRLIFS2VVtHl8O14Rw 提取码:5mli
Dataset
Download datasets RICE from here, and ISTD dataset from here
To reproduce PSNR/SSIM scores of the paper, run MATLAB script
evaluate_PSNR_SSIM.m
ACKNOLAGEMENT
The code is updated on https://github.com/swz30/MPRNet