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cs.CV2025
UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving
Rui Chen, Zehuan Wu, Yichen Liu +4
The creation of diverse and realistic driving scenarios has become essential to enhance perception and planning capabilities of the autonomous driving system. However, generating l…
cs.CV2025
MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction
Jingcheng Ni, Yuxin Guo, Yichen Liu +3
World models that forecast environmental changes from actions are vital for autonomous driving models with strong generalization. The prevailing driving world model mainly build on…
cs.CV2024
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving
Zehuan Wu, Jingcheng Ni, Xiaodong Wang +5
Generative models have significantly improved the generation and prediction quality on either camera images or LiDAR point clouds for autonomous driving. However, a real-world auto…