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Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
We apply generative adversarial convolutional neural networks to the problem of style transfer to underdrawings and ghost-images in x-rays of fine art paintings with a special focus on enhancing their spatial resolution.
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