AI RESEARCH
Learning World Models for Interactive Video Generation
arXiv CS.AI
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ArXi:2505.21996v3 Announce Type: replace-cross Foundational world models must be both interactive and preserve spatiotemporal coherence for effective future planning with action choices. However, present models for long video generation have limited inherent world modeling capabilities due to two main challenges: compounding errors and insufficient memory mechanisms.