MemoryNet
Code for paper:Memory Augment is All Your Need for image restoration. TCE 2025
Install / Use
/learn @zhangbaijin/MemoryNetREADME
MemoryNet:Memory augument is All You Need for image restoration
IEEE Transactions on Consumer Electronics 2025
Paper link https://arxiv.org/abs/2309.01377
The structure of MemoryNet

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
