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cs.CV2025

Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration

Yue Hu, Juntong Peng, Yunqiao Yang +1

Collaborative 3D detection can substantially boost detection performance by allowing agents to exchange complementary information. It inherently results in a fundamental trade-off…

cs.CV2025

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Yifan Lu, Xuanchi Ren, Jiawei Yang +8

We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving scenes with high fidelity and controllability. Previous methods for scene generation either suf…

cs.CV2025

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System

Genjia Liu, Yue Hu, Chenxin Xu +8

Vehicle-to-everything-aided autonomous driving (V2X-AD) has a huge potential to provide a safer driving solution. Despite extensive researches in transportation and communication t…

cs.CV2025

Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models

Yuzhu Cai, Sheng Yin, Yuxi Wei +5

The burgeoning landscape of text-to-image models, exemplified by innovations such as Midjourney and DALLE 3, has revolutionized content creation across diverse sectors. However, th…

cs.CV2024

ChatDyn: Language-Driven Multi-Actor Dynamics Generation in Street Scenes

Yuxi Wei, Jingbo Wang, Yuwen Du +6

Generating realistic and interactive dynamics of traffic participants according to specific instruction is critical for street scene simulation. However, there is currently a lack…

cs.CV2024

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

Yuxi Wei, Zi Wang, Yifan Lu +5

Scene simulation in autonomous driving has gained significant attention because of its huge potential for generating customized data. However, existing editable scene simulation ap…