Huaiyi Dong

SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models

World models allow agents to simulate the consequences of actions in imagined environments for planning, control, and long-horizon decision-making. However, existing autoregressive world models struggle with visually coherent predictions due to disrupted spatial structure, inefficient decoding, and…