VRAG: Learning World Models for Interactive Video Generation 事件

VRAG: Learning World Models for Interactive Video Generation arXiv:2505.21996v4 Announce Type: replace Abstract: 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. We enhance image-to-video models with interactive capabilities