Image Style Transfer Using Convolutional Neural Networks

This paper introduces a neural network approach to artistically rendering images. It separates the style and content of an image using convolutional neural networks. By manipulating these separately, the style of one image can be transferred onto the content of another, creating new and unique artistic images. The technique allows for the creation of images with a distinct visual style while preserving the original content.