arXiv cs.LG
· Papers
Mitigating Compounding Error via Video Representation Regularization
arXiv:2607.27036v1 Announce Type: cross Abstract: Video diffusion-based world models enable long autoregressive video generation for robotics, autonomous driving and simulation tasks, yet sliding-window autoregressive inference suffers from severe error accumulation that degrades frame quality over time. Although this