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Super-Resolution

In this repository, I implemented SRGAN for MNIST dataset.

There are four modes :

  • MSE
  • GAN
  • WGAN
  • visual (plot the generated HR images given trained model)

More works

  • See images folder for examples of generated images.
  • See SR-CIFAR for network on CIFAR10
  • See SR-FULL for full version of SRGAN

To be done :

  • plot outputs by different networks together
  • full-sized networks
  • VGG loss
  • benchmark on different sets

Other implementation

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Pytorch Implementation of Photo-Realistic Super Resolution

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