Deep-Generalized-Unfolding-Networks-for-Image-Restoration
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MC-E
Accepted by CVPR 2022
Thanks for the great work! Here are some details I want to ask. You mentioned in your paper that it takes three days for the model to train on two...
Why training should be divided into python train.py python train_plus.py These two steps?
Hi, thanks for your efforts. I reproduced your work with the BSD400 dataset for the compressive sensing task. However, I trained for several days, but the results are far from...
Hi there @MC-E , Thank you for your great input and sharing the code! I have a question about the compressed sensing case: 1) As you mentioned in the paper:...
First,it is a real awesome work! When I run the train.py in the file named Deblurring, I got an error: > TypeError: can't convert cuda:0 device type tensor to numpy....
Dear author, In the model diagram of the paper, I noticed that there is an RB module in the U-net structure. However, I didn't notice this being implemented in the...
When I reproduced the results of the paper, "python test_DND.py --save_image", the following error occurred.  Please make sure that the model you provided is trained using torch1.1? If not,...
Dear author: When I reproduce your awesome work,I find my model perform well during validation,but poorly during testing,why is that? Is it because normalization was applied during testing but not...
