AI RESEARCH
PhysVid: Physics Aware Local Conditioning for Generative Video Models
arXiv CS.AI
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ArXi:2603.26285v1 Announce Type: cross Generative video models achieve high visual fidelity but often violate basic physical principles, limiting reliability in real-world settings. Prior attempts to inject physics rely on conditioning: frame-level signals are domain-specific and short-horizon, while global text prompts are coarse and noisy, missing fine-grained dynamics. We present PhysVid, a physics-aware local conditioning scheme that operates over temporally contiguous chunks of frames.