Zhedong Zheng

@star4s There may be several things you need to check: 1. Do you show the result in a right way? Does the third channel of the output equal to 3?...

Do you use `%im_1 = rgb2ycbcr(im_1);` ? Actually I do not use it and comment it.

add `imshow(input(:,:,:,1));` before the `inputs = {'input',gpuArray(input),'label',gpuArray(label)};` add breakpoint. Does it show right?

I think the input is right. The question may be in the training process. The training curve do not converge?? The loss seems keep high. Do you use my initial...

I wrote this code one year ago and do not keep it in my computer. Let me download file and re-train my model to see whether there is any bugs....

@star4s I found the bugs. 1. I wrote the rmsprop but I used sgd optimizer. In theroy, rmsprop is better than sgd. But I found sgd can do better. So...

Dear @star4s : First, you can test my trained model by `img = repmat(img,1,1,3); %this turn the gray image to the rgb img.` I am not sure my model can...

@faris060 It seems that your matlab doses't recognise the 'gpuArray'. I strongly recommend you refer to http://www.vlfeat.org/matconvnet/install/#compiling Or you may try to run my code on CPU. Use vlnn_compile() to...

@rehoon my super resolution code is trained on Ubuntu 14.04 You may refer to http://www.vlfeat.org/matconvnet/install/ to install matconvnet And then you may try to run gpu_compile.m

@Addhi86 I follow the setting in the paper Image Super-Resolution Using Deep Convolutional Networks C.Dong (https://arxiv.org/pdf/1501.00092.pdf) I will update README.md to show how to download from Baidu Driver.