Generated Images, Painting, 2017
The technique of style transfers – rendering one image in the style of another one, e.g. digitally painting "Mona Lisa" in the style of Monet – got much attention during 2016. Breakthroughs in Deep Learning made it possible to create digital visual pastiches with much more fidelity while working faster and more flexible than previous approaches.
The results were numerous websites, mobile apps and source code releases which enable everyone to create such digital pastiches. Most users stick to a quite narrow area: they take a picture (mostly portraits) and use a well known artistic style. Results look very similar after a while.
"Beyond Pastiche" goes farther than that and explores the possibilities of the tools using unusual inputs for the style component. Images of meat, litter, icons of pop culture and consumption and more are applied to different motives to contextualise, surprise and amuse.
One further step was then to paint one of the results on actual canvas.