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The problem of IRM module input and model stability #12

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liudelong123123 opened this issue Aug 26, 2024 · 4 comments
Open

The problem of IRM module input and model stability #12

liudelong123123 opened this issue Aug 26, 2024 · 4 comments

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@liudelong123123
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Hello, I have a few questions for you about this paper. First of all, it is the input of IRM module. The model diagram in this paper shows that the input of IRM module is LPET image, but the input described in this paper is IP image, and the input in the code is the residual image of HR and IP image. So I want to know what are the inputs to the IRM model?

@liudelong123123
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I tested the node model you provided, and found that the average SSIM was 0.962, which was slightly different from 0.975 in the paper, because there was a code error in the calculation of SSIM in the our_paper_metry. py file you provided before. I changed it to cur_ssim = ssim(SPETimg, EPETimg, data_range=dr,multi_channel=1). Will this change affect the calculation of SSIM?
image

@Show-han
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Show-han commented Sep 6, 2024

For the input, the provided code is definitely the most accurate. Please understand it according to the code. As for the calculation of SSIM, please also refer to the specific code for understanding.

@liudelong123123
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Can you provide code for other model training that compares to the metrics in the paper? If possible, thank you very much.

@Show-han
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Show-han commented Sep 7, 2024

Unfortunately, since a long time has passed, and I have left the original lab and moved on to a different research direction, I no longer have the code for the comparison experiments. You might want to try reaching out to the authors of the comparison paper to obtain the code.

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