WorldFlow: Jointly Predicting Video and 3D Motion via Large-Scale Pretraining

WorldFlow is a generative world model that uses a unified Mixture-of-Transformers (MoT) backbone to simultaneously denoise video and query-based 3D trajectories under a rectified-flow objective, parameterizing 3D motion as continuous displacement tokens aligned with the video grid.