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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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Hi, Jiahui,
Thanks for your sharing.
When you compare EDSR and WDSR, are the the values of n_feats the same and whether both values are set to 64?
Thanks.
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@thstkdgus35 Hello, I cannot find the EDSR_baseline pretrained model for ×2, ×3, and ×4. Could you please provide these files?
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hi,
i keep getting the below error on random epoch.
pytorch0.4.0, python 3.6.6 are installed.
tensor printout is just my log to see if mse in math.log(mse) is really zero or not which turned out …
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First of all big thanks for your work and for sharing it so openly!
Two questions, if you don't mind.
1) In your paper you're writing:
> Addionally, we attach additional nonlinearities
> in …
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Hi,
Could you please explain if and how can I run your network on images from track3 of the challenge?
I am interested in the test\inference stage (not the training).
Would this work also on any i…
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Hi @thstkdgus35 ,
May I ask why you use patches from pictures for the training but end up feeding the whole image into the EDSR during inference(instead of patches of the image)?
I am new to super-r…
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you make a increase channel unit in wdsr_b 32->32*6->32*0.8->32
I have a problem, does 32*6 is for scale 2 times, how about x3 and x4, should I change 6 to other number.
you paper said
It enables…
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I use the pre-model trained by X2, how to adjust the parameters to train the X4 model.
