Torch implementation of the VDSR-CNN Upscaling algorithm
This is a simple torch implementation of the VDSR algorithm from this paper, though some hyperparameters were modified for faster convergence.
Jiwon Kim, Jung Kwon Lee and Kyoung Mu Lee, Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Included model uses only 8 layers (instead of the paper's 20), was trained for 2 hours on a R9 290x using 7 high-resolution images.
This is a preliminary test so the results are not the best. When I have time I will train the full 20 layer model using a bigger dataset (around 1000 images).
