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Why vespcn is not better than EDSR in same train datasets?
Any advice to get higher PSNR and SSIM?
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1、P7表格中的ours指标是否使用self-ensemble?
2、我使用https://github.com/ceykmc/pytorch_model_summary
脚本,3x16x16作为输入,得到2x的AWSRN模型,理论Madd 712,361,984,换算到论文中的1280x720(*3600), 是2565G左右,但是论文中是320.5G,相差很远,我们的统计方式是哪里有不同?…
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@nmhkahn Thank you for Release codes, however, when test pretrained model that you released, the psnr and ssim results are lower than the paper, for example, Set5, it achieved average psrn 29.665, ssi…
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I have a question regarding the evaluation of the models. In this implementation, just as in the EDSR and the WDSR papers, the models are evaluated with PSNR and SSIM on all three RGB-channels. Howeve…
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Hi, thanks for your working.
Why is the psnr value on Set14/bridge I get with _Test/model/MSRN_x2.pt_ not so good?
this is psnr, it different from you provided:
x2 3 bridge.png: PSNR= 26.207258 SSI…
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Hello author HyeongseokSon,
**I've used your pretrained model to evaluate the Set5 and Set14 dataset. However, the results I got are not identical to your paper.**
I used your SRFeat_full.npz …
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What is the input channel in the Set5 / Set14 test in the paper? RGB or Y? Thanks for your answer.