FrameMorrow: Future-guided Frame Selection with Prospective Tokens for Long-Horizon Video Generation
This paper proposes a method to selectively choose relevant frames from a long generation history to improve video generation, allowing models to efficiently leverage their past content. Practitioners may care about this approach because it can lead to better video quality and consistency.