KernelGAN

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About DIV2KRK

1

Thanks for your work! Can you provide the code for making DIV2KRK? Besides, except the blur kernel, I want to know whether you add the noise to the DIV2K to...

Zj-BinXia

Why there are intermediate kernels for x4?

3

In the given DIVRK dataset, there are intermediate kernels for x4. I guess they are x2 kernels and the given x4 kernels are derived from intermediate x2 kernels. Then, the...

JingyunLiang

Question about the DownScaleLoss

1

There is no DownScaleLoss in the paper, could we set the param 'lambda_bicubic' to 0?

Algolzw

why not directly save the params of Generator for downscaling? why not non-linear?

3

As shown in paper, the generator is equaled to a simple linear kernel, then why we still need to use 'imresize' func to resize the picture, can we save all...

hitsz-zuoqi

Why do you swap axis?

2

Hi, thank you for sharing the code! It seems that you first swap the axis first in the generator. Could you tell me why do you swap axis? More efficient,...

jiandandan001

UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize

5

Hi author, I met this error, I obey the enviroment.yml; but this problem make me crazy! I have no idea why this happens. If I run the ZSSR to get...

RaySunWHUT

network parameter asking

6

Hi, Mr. selfibk, I have a confusion that what is the meaning of number 32 in the generator(G) network architecture ? How did the conv. perform the operation of image...

RaySunWHUT

RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM

2

hi, Mr. sefibk, Thanks for your work, and if I use the "Blind data generator" to generate degradation images, the kernelGAN can estimate the correct kernel. But if the use...

RaySunWHUT

https://github.com/sefibk/KernelGAN/blob/7218a37f0933519513aac97f40b8a72d3676eec9/imresize.py#L164 If we want to get the size of last dimension(the number of channels), we should use `im.shape[-1]`,` np.ndim(im)` is the number of dimension of `im`, **in RGB case just...

Luciennnnnnn

Using the default setting, the kernel size is 17x17(X2) and 33x33(X4)

2

 But in your paper the kernel size should be 13x13. I look forward to your answer! Thanks!

House-Leo