The international research group Visual AI for Extended Reality, led by Prof. Helge Rhodin, advances 3D computer vision, machine learning, and computer graphics to enable new levels of non-intrusive computer-human interaction.

The latest AR devices offer incredible display capabilities; we make them truly useful by complementing the display capabilities with algorithms for high-quality dynamic reconstruction. From just a video, we reconstruct the user's avatar and their environment. The goal is immersion through a tight coupling of the real and virtual worlds, enabled by a bidirectional information flow both in the device-to-user (display) and the user-to-device (reconstruction) direction.

The research is human-centric and aims at doing good. The three core research directions are privacy-preserving sensors, self-supervised learning, and how to add control to personalized human and large-scale generative models.

Follow us on X/twitter or LinkedIn to hear about job openings and the most recent research outcomes.

The three core research directions are privacy-preserving vision, self-supervised learning, and generative models for human modeling (detailed below). The group collaborates internationally to make these algorithmic advances practical, e.g., with neuroscientists to relate laboratory animal behavior to neural activation.