General world models represent a crucial pathway toward achieving Artificial General
Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual …

Benchmarking vision-based driving policies is challenging. On one hand, open-loop
evaluation with real data is easy, but these results do not reflect closed-loop performance …

We propose Hydra-MDP, a novel paradigm employing multiple teachers in a teacher-
student model. This approach uses knowledge distillation from both human and rule-based …

Semantic Scene Completion (SSC) aims to jointly generate space occupancies and
semantic labels for complex 3D scenes. Most existing SSC models focus on volumetric …

3D occupancy perception technology aims to observe and understand dense 3D
environments for autonomous vehicles. Owing to its comprehensive perception capability …

This technical report summarizes the second-place solution for the Predictive World Model
Challenge held at the CVPR-2024 Workshop on Foundation Models for Autonomous …