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you claim "Such a gap between synthetic and real data sets results in poor performance when applying them to real scenarios. To address these issues, this paper proposes a new semi-supervised video d…
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Hi there, 1st of all thanks for your work, your wrapper is very clean and usable.
If you're interested can you build something similar for [HINet: Half Instance Normalization Network for Image Rest…
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When I finished the training and tested it, the program reported an error.
===>Testing using weights: ./checkpoints/Deraining/models/MPRNet/model_best.pth
0%| …
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hello, thanks for your excellent work, but i have a question about the validation set, the validation set of MPRNet is Rain100H, but your validation sets is all the five test sets, is it fair?
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Hi,
Thanks for your contributions to the deraining research area. After going through the details of your work, I have a question about your algorithm. I notice that your real-world test dataset is…
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the dataset has1800 training data, 200 test data,
Why the loss is so high, I try to change the learning rate to 1.5e-4. but it is no helpful
![image](https://user-images.githubusercontent.com/1221…
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Thank you for your work, MPRNet achieves the best performance in multiple tasks.
But I am confused about the number of iterations.
**paper:**
4.2. Implementation Details
The networks are trained…
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![image](https://user-images.githubusercontent.com/12219867/119628806-03733b80-be40-11eb-935b-c7d739538768.png)
I would like to compare the performance of these two real rain images, can you send me …
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Hello, my picture contains a fingerprint (red) and a signature (black). I want to remove the signature and repair the part of the fingerprint obscured by the signature. Can I use Deraining to transfor…
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Hi!
Thank you so much for your work!
I am wondering if anyone can run the model on PyTorch 1.8.1(stable version)?
Thanks