AI RESEARCH
Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation
arXiv CS.CV
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ArXi:2605.14382v1 Announce Type: new Interactive real-time autoregressive video generation is essential for applications such as content creation and world modeling, where visual content must adapt to dynamically evolving event conditions. A fundamental challenge lies in balancing reactivity and stability: models must respond promptly to new events while maintaining temporal coherence over long horizons. Existing approaches distill bidirectional models into autoregressive generators and further adapt them via streaming long tuning, yet often exhibit persistent drift after condition changes.