AI RESEARCH
Egocentric World Model for Photorealistic Hand-Object Interaction Synthesis
arXiv CS.CV
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ArXi:2603.13615v1 Announce Type: new To serve as a scalable data source for embodied AI, world models should act as true simulators that infer interaction dynamics strictly from user actions, rather than mere conditional video generators relying on privileged future object states. In this context, egocentric Human-Object Interaction (HOI) world models are critical for predicting physically grounded first-person rollouts.