ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow
This paper introduces ShadowDancer, a method for teaching video world models to perform any-action control by learning unified dynamics representations from a video and its shadow. Practitioners might care because it can improve action transfer and long-term control in complex environments.