Deep Learning for Computer Graphics and Geometry Processing

Abstract In computer graphics and geometry processing, many traditional problems are now becoming increasingly handled by datadriven methods. In an increasing variety of problem settings, deep networks are state-of-the-art, beating dedicated hand-crafted methods by significant margins. This tutorial gives an organized overview of core theory, practice, and graphics-related applications of deep learning.