Progress in contemporary visual information processing is driven by the joint pursuit of interactivity, realism, and flexibility. To find viable solutions to the scientific and technological challenges encountered towards these goals, we pursue interdisciplinary strategies that draw on computer graphics, computer vision, applied optics, and human visual perception. Our goal is to contribute answers to fundamental scientific questions that enable us to devise new algorithms for visual computing applications.
Our work on "Learning to reconstruct people in clothing from a single RGB camera" has been accepted to CVPR 2019
The Cluster of Excellence PhoenixD: Photonics, Optics, and Engineering Innovation - Across Disciplines in which we are among the PIs has been accepted