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Hello,LimBee,I just read your paper,the result is really cool,and EDSR gets the highest score in PSNR,but it seems it still has a sense of blurr in vision.I noted that you changed the loss function f…
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Hi, thank you very much for sharing your code.
I ran your model(WDSR_b ) based on EDSR-Pytorch as backbone training framework, but it reported an error as follows:
AttributeError: 'Namespace' obje…
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@MIVRC-CV @CV-JunchengLi @FYXX ,你们好,这篇文章的idea令我眼前一亮,融合不同尺度的feature来得到更好的feature map。 不过我有一些小疑问。。。
在Section 4.4 的 Benefit of MSRB 中,你们提到对比了不同的feature extraction 模块,你们的结果表现十分恐怖。。。但是你们的MSRB是由多路网络组…
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Hello,thank you very much for sharing your code.
I ran your model(WDSR_B) based on EDSR-Pytorch as backbone training framework, but when I ran here:
self.rgb_mean = torch.autograd.Variable(torch.F…
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An error occurred when scale was 3.How to solve it?
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I want to train my own dataset, which consists of small patch size and the number is more than 1e6, then I find the process just evaluation but training, for example:
python main.py --model EDSR --s…
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Hello, thank you very much for sharing the code!
But I have a question.Both the paper and README.md mentioned that when evaluating on benchmark datasets, the PSNR calculation is only done in the Y …
ptkin updated
5 years ago
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I run the demo with my test images and yours, but I met a problem which is integer division or modulo by zero,in srdata.py 86, I have tried : python main.py --data_test Demo --scale 4 --pre_train ../e…
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excuse me! I recently train the EDSR_x2 model that used your pytorch code. During trainng, the validation PSNR is normal, around 38.5dB. but after training, I used DIV2K n_val 100 to test, the reconst…
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hello:
i'm new hand in SR.The operating system I am used win10 and CUDA v8.0.
i notice that the algorithm maybe run in Linux, therefore i install Cygwin so that can execute linux command in my c…