We combine research on computer vision, computer graphics, and machine learning to teach computers to see and understand humans and their behavior. By capturing 3D human behavior from video at scale, we train digital humans that behave like real humans.

Our research uses Computer Vision to learn digital humans that can perceive, learn, and act in virtual 3D worlds. This involves capturing the shape, appearance, and motion of real people as well as their interactions with each other and the 3D scene using monocular video. We leverage this to learn generative models of people and their behavior and evaluate these models by synthesizing realistic looking humans behaving in virtual worlds.

This work combines Computer Vision, Machine Learning, and Computer Graphics.

Director
Michael Black

Michael Black

Director
Admin Team
Melanie Feldhofer

Melanie Feldhofer

Department Manager
Nicole Overbaugh

Nicole Overbaugh

Administrative Assistant
+49 7071 601 1800

Department Highlights