  While makeup virtual-try-on is now widespread, parametrizing a computer
graphics rendering engine for synthesizing images of a given cosmetics product
remains a challenging task. In this paper, we introduce an inverse computer
graphics method for automatic makeup synthesis from a reference image, by
learning a model that maps an example portrait image with makeup to the space
of rendering parameters. This method can be used by artists to automatically
create realistic virtual cosmetics image samples, or by consumers, to virtually
try-on a makeup extracted from their favorite reference image.
