Comments (2)
Hi,
As we changed some variable and function names in the code, the released checkpoint file is a retrained version. Also, the released model (PSNR:34.49) is actually slightly better than the reported one (PSNR:34.41) in terms of PSNR. To produce ours-l1 (PSNR: 36.98) in table 2, you need to train the model with L1 loss only (i.e., disable other losses). As observed in many SR works, models trained with L1 or L2 loss only usually perform better quantitatively but suffer inferior visual quality.
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I see, thanks for the reply~
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Related Issues (20)
- How much memory does (train)test need(for CUFED5)? HOT 1
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