Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation
This paper improves autoregressive video generation by predicting future chunks of a video without relying on the intervening visual context, allowing for more accurate modeling of scene evolution. Practitioners might care because this approach can lead to more physically plausible videos while reducing computational costs.