WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining
arXiv:2610.39278v1 Announce Type: cross Abstract: Predicting future physical states stands as a central challenge in embodied intelligence. Existing video world models leave 3D dynamics implicit, action-based formulations remain tied to specific robot configurations, and 3D motion prediction models use flow-only supervision, providing a limited learning signal for physical dynamics. To circumvent these limitations, we introduce \method{}, a generative world model that jointly predicts future vi…