Learning painting styles for painterly rendering

摘要

Embodiments relate to automatic rendering of images according to a painting style. A procedural painting system, controlled by one or more parameters is used. Classifiers are trained using machine learning to return a score related to how well an image fits a given painting style. Parameters of the procedural painting system are optimized to maximize the score returned by the classifiers, and an output image is rendered.