AI RESEARCH
DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
arXiv CS.CV
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ArXi:2604.01765v1 Announce Type: new Recently, world-action models (WAM) have emerged to bridge vision-language-action (VLA) models and world models, unifying their reasoning and instruction-following capabilities and spatio-temporal world modeling. However, existing WAM approaches often focus on modeling 2D appearance or latent representations, with limited geometric grounding-an essential element for embodied systems operating in the physical world.