With the development of artificial intelligence and breakthroughs in deep learning, large-
scale foundation models (FMs), such as generative pre-trained transformer (GPT), Sora, etc …

Closed-loop simulation is essential for advancing end-to-end autonomous driving systems.
Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on …

World models have demonstrated superiority in autonomous driving, particularly in the
generation of multi-view driving videos. However, significant challenges still exist in …

In the rapidly evolving landscape of autonomous driving, the capability to accurately predict
future events and assess their implications is paramount for both safety and efficiency …

Video generation has witnessed significant advancements, yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

The development of intelligent driving systems has drawn significant attention to enhancing
the safety of autonomous vehicles and their intended functionality. Despite this, current …

Predictive learning models which aim to predict future frames based on past observations
are crucial to constructing world models. These models need to maintain low-level …

Abstract Pre-training for Reinforcement Learning (RL) with purely video data is a valuable
yet challenging problem. Although in-the-wild videos are readily available and inhere a vast …

Video generation has emerged as a promising tool for world simulation, leveraging visual
data to replicate real-world environments. Within this context, egocentric video generation …

World models are progressively being employed across diverse fields, extending from basic
environment simulation to complex scenario construction. However, existing models are …