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Thank you for the great work!!
Here is my question: I would like to train the Restormer on my own dataset with "Deraining" setup.
However, after about 50000 iterations, the loss is not descending …
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Thanks for your great work!
When reading the paper, I had the following questions:
1. Where can I find the deraining results without pretraining?
2. From the following table, it can be seen tha…
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in JSHDR paper, you use RPCA to generate the highlight-free image from highlight image as the removal ground truth, if the RPCA can remove highlight well,why we need a new mothod of JSHDR?
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[Restormer / Defocus_Deblurring / Pretrained_Models / README.MD ](https://github.com/swz30/Restormer/blob/fc8ea6385dd7a58e0955a0aaecd1ac97ad975dfc/Defocus_Deblurring/pretrained_models/README.md)
cont…
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Thanks for sharing this great work. Equivariant Imaging is a great idea. However, I have a few questions about the mechanism/motivation of this idea.
Yes, clean signals are hard to obtain in many c…
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Hello,I'm sorry to bother you. I encountered a problem when training the deraining dataset. My friends didn't encountered this case, so I'd like to ask you to help me see the reason for this error. I …
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hi,this is great work. I want to use this network for single image deraining, and what parts of this code can I modify? Or do you have any good suggestions? thanks!
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Hi,
Thanks for sharing this great work!
Could you share the number of parameters and FLOPs of MPRNet for Denoising, Deblurring, and Deraining, respectively? I didn't see such numbers in your pap…
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Training ECNet would raise an error when tries loading the pre-trained autoencoder:
```
Unexpected key(s) in state_dict: "Up4.up.1.weight", "Up4.up.1.bias", "Up4.up.2.weight", "Up4.up.2.bias".....…