AI RESEARCH
Event-Driven Video Generation
arXiv CS.LG
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ArXi:2603.13402v1 Announce Type: cross State-of-the-art text-to-video models often look realistic frame-by-frame yet fail on simple interactions: motion starts before contact, actions are not realized, objects drift after placement, and relations break. We argue this stems from frame-first denoising, which updates latent state everywhere at every step without an explicit notion of when and where an interaction is active. We