3 papers
cs.CV2026
EgoExoMoCap: Distributed Ego-Exo Human Motion Capture
Jiaxi Jiang, Bharat Lal Bhatnagar, Nan Yang +6
Human motion capture from head-mounted devices (HMDs) offers a scalable way to acquire real-world human motion and interaction data, which is crucial for applications in embodied A…
cs.CV2026
GIRAF: Towards Generalizable Human Interactions with Articulated Objects
Xiaohan Zhang, Sebastian Starke, Alexander Winkler +3
Synthesizing realistic full-body human interactions with articulated objects is a fundamental challenge for embodied AI and graphics, with applications in robotics training and vir…
cs.CV2024
SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control
Xiaohan Zhang, Sebastian Starke, Vladimir Guzov +3
Synthesizing natural human motion that adapts to complex environments while allowing creative control remains a fundamental challenge in motion synthesis. Existing models often fal…