SPEAKER: Vladlen Koltun Stanford University
TITLE: Data-Driven 3D Modeling
Providing easy-to-use tools for three-dimensional content creation is a key challenge in computer graphics. In this talk, I will describe data-driven representations that are learned from collections of shapes and encode statistical relationships between geometric and semantic properties of shape components. These representations lead to intelligent 3D modeling tools that can reason about the structure and semantics of shapes, thus significantly simplifying the interactive modeling process.
Vladlen Koltun is an Assistant Professor of Computer Science at Stanford University, working in computer graphics and related areas. His prior work in theoretical computer science was recognized with the NSF CAREER Award, the Alfred P. Sloan Fellowship, and the Machtey Award.