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Unofficial implementation of FSRCNN using PyTorch.

1. Rundata_aug.m to augment training set.
2. Rungenerate_train.m andgenerate_test.m to generate h5 files for data loader.(Note that you may need to change the path in the matlab code for different image source)
3. Runmain.py.

1. python >= 3.4
2. pytorch >= 0.4
3. torchvision
4. tensorflow

Chao Dong, Chen Change Loy, Xiaoou Tang. Accelerating the Super-Resolution Convolutional Neural Network, in Proceedings of European Conference on Computer Vision (ECCV), 2016