Style Transfer


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 together so the output image looks like the content image, but “painted” in the style of the style reference image.

Tutorials

Fast- Neural Style
Pytorch implementation of an algorithm for artistic style transfer.
style-transfer pytorch computer-vision tutorial
Neural Style Transfer
This tutorial uses deep learning to compose one image in the style of another image (ever wish you could paint like Picasso or Van Gogh?).
style-transfer tensorflow computer-vision tutorial
Fast Neural Style Transfer (feed-forward method) ⚡💻 + 🎨 = ❤️
This repo contains a concise PyTorch implementation of the original feed-forward NST paper.
style-transfer neural-style-transfer computer-vision code
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