REDNet-pytorch
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yjn870
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
Hello @yjn870, thank you for the implementation. After training with your code, I found that the psnr and ssim is lower than that of the original paper. Is it caused...
I was confused that you are using MSE loss for the input and output but there is a direct residual adding of original input in the model. Would this model...
Very nice job! One little extension concerns the number of channels, ie. RGB=3 but it can nicely be genralized > def __init__(self, num_layers=5, num_features=64, **num_channels=1**): then the 1st conv_layer >...
Hi @yjn870, thank you for the implementation. It works reasonably well for the most cases. However, for the images that has some even dimensions such as [370, **545**], [**663**, 962],...
