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JingyunLiang avatar JingyunLiang commented on May 20, 2024 1

The input is 3 channel. We add noise-level-map as following:

We add noises in the network forward() function. Make sure nonblind_denoising == True here:

if self.nonblind_denoising:

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JingyunLiang avatar JingyunLiang commented on May 20, 2024

We add noises in the network forward() function. Make sure nonblind_denoising == True here:

if self.nonblind_denoising:

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ialhashim avatar ialhashim commented on May 20, 2024

I see. So this network is trained on a specific kind of noise correct?

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JingyunLiang avatar JingyunLiang commented on May 20, 2024

Yes. Following FastDVDNet and PaCNet, we train non-blind denoising models for fair quantitative comparison.

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Gyudori avatar Gyudori commented on May 20, 2024

So, do we need 4 channel input image for testing denoising?
And if then, where can I get noise-level-map(4th channel) from?

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WEIZHIHONG720 avatar WEIZHIHONG720 commented on May 20, 2024

I meet new problem:deform_conv2d() takes from 3 to 7 positional arguments but 8 were given !\ @JingyunLiang @Gyudori

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