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GuoShi28 / CBDNet

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019
Apache License 2.0
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UNet Architecture #19

Closed TouqeerAhmad closed 5 years ago

TouqeerAhmad commented 5 years ago

Hi Guo Shi,

Can you please explain the UNet being used in CBDNet a little bit more. Few things are unclear from the description in the paper.

Example:-

  1. The original UNet paper uses max-pooling to reduce the size of the image, however it looks like in CBDNet it is done through convolution strides.
  2. Also it is unclear at what level the features are concatenated -- shouldn't that be shown by increasing the width of green and yellow rectangles in figure2 of the paper e.g. that is how it was shown in Fig1 of original UNet paper cited in CBDNet.
  3. Are the conv layers in UNet being padded -- otherwise the resolution would be different?

Since the model is in MatConvNet and not everyone has access to Matlab.

Thank you for your time! Touqeer

TouqeerAhmad commented 5 years ago

Please ignore the above questions; I was able to load the .mat file in Python and get the answers for my questions.