AI RESEARCH
VChain: Chain-of-Visual-Thought for Reasoning in Video Generation
arXiv CS.CV
•
ArXi:2510.05094v2 Announce Type: replace Recent video generation models can produce smooth and visually appealing clips, but they often struggle to synthesize complex dynamics with a coherent chain of consequences. Accurately modeling visual outcomes and state transitions over time remains a core challenge. In contrast, large language and multimodal models (e.g., GPT-4o) exhibit strong visual state reasoning and future prediction capabilities. To bridge these strengths, we