15 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 4 cited
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Guosheng Zhao, Xiaofeng Wang, Zheng Zhu +4
World models have demonstrated superiority in autonomous driving, particularly in the generation of multi-view driving videos. However, significant challenges still exist in genera…
cs.CV2024★ 5 cited
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Xiaofeng Wang, Zheng Zhu, Guan Huang +3
World models play a crucial role in understanding and predicting the dynamics of the world, which is essential for video generation. However, existing world models are confined to…
cs.CV2023★ 15 cited
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Xiaofeng Wang, Zheng Zhu, Guan Huang +3
World models, especially in autonomous driving, are trending and drawing extensive attention due to their capacity for comprehending driving environments. The established world mod…