Neural Style Transfer
September 09, 2020.
1 min read ☕
This post contains some outputs after applying neural style transfer techniques on them.
IPython notebook can be found here.
Neural style transfer is an optimization technique used to take some images, a content image, a style reference image (such as an artwork by a famous painter) and blend them together such that the content image is transformed to look still like the content image, but “painted” in the style of the style image.