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Update README.md
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@KupynOrest
KupynOrest authored Nov 21, 2017
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Expand Up @@ -5,14 +5,8 @@ Pytorch implementation of the paper DeblurGAN: Blind Motion Deblurring Using Con

Our networks takes blurry image as an input and procude the cirresponding sharp estimate, as in example:
<img src="images/test1_blur.jpg" width="600px"/>

Blurred Photo
<img src="images/test1_restored.jpg" width="600px"/>

Restored using out method
<img src="images/test1_sharp.jpg" width="600px"/>

Sharp photo

Our model is Conditional Wasserstein GAN with Gradient Penalty + Perceptual loss based on VGG-19 activations

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