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Is there any reason why you normalize only input, but not gt? #20

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DongHwanJang opened this issue May 15, 2021 · 5 comments
Open

Is there any reason why you normalize only input, but not gt? #20

DongHwanJang opened this issue May 15, 2021 · 5 comments

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@DongHwanJang
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I believe that if you use the global residual connection, you need to normalize both of them.
Unless, the residual term has to learn much more complicated space.

@DongHwanJang DongHwanJang changed the title Is there any reason why you normalize only input, not output? Is there any reason why you normalize only input, but not gt? May 15, 2021
@dingyan1478
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Hi!
I have the same question. Do you understand now?

@Alienvoid
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Maybe the convolutional network automatically learns the reversal normalization such that it produces the clean image without normalizing the gt.

@Wangbk-dl
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Hi, I have the same question. Do you get any idea?

@DongHwanJang
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@Wangbk-dl No. I guess there was a mistake implementing the code.

@LT1st
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LT1st commented May 6, 2022

Error while implementing the code.

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