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Hello! Really impressive work! Already starred!
I have 3 questions regarding implementation details.
For a UNet structure, do you replace all the convolution blocks with RepNR blocks?
Is the CSA^k representing the noise generator, or does the input F_k already transformed by the noise? Quoting from the paper, "CSA focuses on adjusting the distribution of input features." What purpose does CSA serve?
Given that the log of system gain is linear with log of the variance of noise, how do we get the noise parameters with 3 paired data? Could you please give me some intuition, or something to read about?
Thanks again for your work!
The text was updated successfully, but these errors were encountered:
Hello! Really impressive work! Already starred!
I have 3 questions regarding implementation details.
Thanks again for your work!
The text was updated successfully, but these errors were encountered: