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cs.CV2025
GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation
Zhenya Yang, Zhe Liu, Yuxiang Lu +6
Physics-aware driving world model is essential for drive planning, out-of-distribution data synthesis, and closed-loop evaluation. However, existing methods often rely on a single…
cs.CV2025
Grounding Everything in Tokens for Multimodal Large Language Models
Xiangxuan Ren, Zhongdao Wang, Liping Hou +3
Multimodal large language models (MLLMs) have made significant advancements in vision understanding and reasoning. However, the autoregressive Transformer architecture used by MLLM…