"While the great art of yesteryear was an exhaustive process to create, today the style of those masters can be mimicked in minutes. Last week German researchers released a paper detailing how a computer algorithm could be used to pump out images borrowing the styles of the world’s greatest artists.
“The key finding of this paper is that the representations of content and style in the convolutional neural network are separable. That is, we can manipulate both representations independently to produce new, perceptually meaningful images,” write the authors. Their paper has been submitted to Nature Communications. Leon Gatys, a PhD student at the University of Tuebingen is its lead author."