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Hello! Thank you for this amazing code!
I want to ask about the DnCNN-B model. How one would implement it using this code?
In the paper they say that the patch size is set to 50x50 and the numb…
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Thank you for providing the codes.
When I run the eval.py , I got the error like this:
2019-10-13 22:15:47.644792: F tensorflow/core/grappler/costs/op_level_cost_estimator.cc:654] Check failed: iz …
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For blind guassion color image denoising on CBSD68, I wonder if the wrong picture was published. PSNR and SSIM calculated are:
(34.02061589141382, 0.9562660026199677)
(31.45404626915882, 0.934731596…
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# Papers
https://hal.univ-lorraine.fr/IDS/hal-03940525v1
https://hal.science/hal-03186499/file/papier_SSVM%20%281%29.pdf
 work !
It would be cool to have the "[Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis](https://arxiv.org/pdf/2203.13278.pdf)" implem…
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I have not found 'Kernel Estimation' and 'Noise collection ' in data codes, is it not included in release codes so far?
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Hi I tried to reproduce the whole training procedure according to your paper
I set the level map as \sigma_c + \sigma_s*L and converted it to 0~1, and simply concat the map with rgb image as the inp…
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Deraining:
python test.py:
/root/miniconda3/lib/python3.8/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated …
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Hi @qiweizhen,
I have a question about your evaluation.
From your paper: "In the inference process, we randomly sample 10 Gaussian noises for iteration denoising, and use the highest score as t…