AI RESEARCH
Chain of Event-Centric Causal Thought for Physically Plausible Video Generation
arXiv CS.CV
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ArXi:2603.09094v1 Announce Type: new Physically Plausible Video Generation (PPVG) has emerged as a promising avenue for modeling real-world physical phenomena. PPVG requires an understanding of commonsense knowledge, which remains a challenge for video diffusion models. Current approaches leverage commonsense reasoning capability of large language models to embed physical concepts into prompts. However, generation models often render physical phenomena as a single moment defined by prompts, due to the lack of conditioning mechanisms for modeling causal progression.