Abstract: Realistic three-dimensional modeling and animation are key bottlenecks in the production film, games, VR, and other applications of computer graphics. In this talk, I will describe our recent research that makes use of machine learning techniques for solving hard inference problems for generating 3D content: capture and reproduction of photorealistic surface appearance, facial performance capture, and turning audio into facial animation. These works both push the state of the art forward in research – two of the three projects have been published at ACM SIGGRAPH – and are surprisingly ready for production use already now.

Speaker: Jaakko Lehtinen

Affiliation: Professor of Computer Science, Aalto University

Place of Seminar: Aalto University