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Fail to replicate PSNR of CUFED on paper #43
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What about your performance using only L1 ref? |
26.991 (consistent with the paper) |
Did you use resize to process different Refs? Resize will damage the performance. Just pad each Ref to the left-top corner in each 500x500 zero image. Then concate them to 2500x500 image. There are no other tricks. |
I didn't use resize. This is my code for TestSet_multi https://pastebin.com/n1DfaffB. |
In addition, I have tried all borderTypes -- cv2.BORDER_CONSTANT, cv2.BORDER_REFLECT, cv2.BORDER_REFLECT_101, cv2.BORDER_REPLICATE, |
Sorry, I make a mistake. Thanks for your prompt and kind reply. Best Wishes for you. |
Hello, thanks for sharing your great work.
I try to replicate PSNR (27.09) in Table 1 of the paper. As shown in Table 4, PSNR in L1 of CUFED5 (_1.png) is 26.99. I think that 27.09 is using multiple references (_1.png, *_2.png, *_3.png, *_4.png, *_5.png) without a second thought. Thus, I pad all the refs to size [500, 500] and vertically concat to be one big ref [2500, 500].
However, no matter which padding type is used, the PSNR is around 26.4, not to reach 27.09. Could you tell me some details to help?
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