3 papers
cs.CV2025
SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world models
Sen Wang, Jingyi Tian, Le Wang +7
World models allow agents to simulate the consequences of actions in imagined environments for planning, control, and long-horizon decision-making. However, existing autoregressive…
cs.CV2025
-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting
Zhimin Liao, Ping Wei, Ruijie Zhang +3
Forecasting the evolution of 3D scenes and generating unseen scenarios via occupancy-based world models offers substantial potential for addressing corner cases in autonomous drivi…
cs.CV2025
STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction
Zhimin Liao, Ping Wei, Shuaijia Chen +2
3D occupancy and scene flow offer a detailed and dynamic representation of 3D scene. Recognizing the sparsity and complexity of 3D space, previous vision-centric methods have emplo…