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neural-style-transfer

Implementation of Style Transfer with Deep Neural Networks in PyTorch

Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them so the output image looks like the content image, but “painted” in the style of the style reference image.

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