A Neural Algorithm of Artistic Style: Summary and Implementation

Neural-style, or Neural-Transfer, allows reproducing a given image with a new artistic style. Here I introduce the Neural-Style algorithm proposed by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge. The algorithm receives a style-image, a content-image and an input image, which can be either an empty white image or a copy of a content-image. Thus, it changes the input image to make it resemble the content of the latter one and the style of the former one. Before I start I would like to thank Alexis Jacq for his article. Although the name might make you think that it is indeed transferring the style into another image, the idea is to generate an image that has the minimal distance between both content and style images.