3 papers
cs.CV2026
EgoPoseFormer v2: Accurate Egocentric Human Motion Estimation for AR/VR
Zhenyu Li, Sai Kumar Dwivedi, Filip Maric +11
Egocentric human motion estimation is essential for AR/VR experiences, yet remains challenging due to limited body coverage from the egocentric viewpoint, frequent occlusions, and…
cs.CV2025
From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models
German Barquero, Nadine Bertsch, Manojkumar Marramreddy +8
In extended reality (XR), generating full-body motion of the users is important to understand their actions, drive their virtual avatars for social interaction, and convey a realis…
cs.CV2024
XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration
Denys Rozumnyi, Nadine Bertsch, Othman Sbai +6
Tracking the full body motions of users in XR (AR/VR) devices is a fundamental challenge to bring a sense of authentic social presence. Due to the absence of dedicated leg sensors,…