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Chunlam Li

1 accepted papers

2026

LangEditor: Natural Language-Driven 4D Editing for Improved Controllability of Dynamic Driving Scenes

ICRA 2026poster

Diverse and realistic data are essential for developing reliable autonomous driving (AD) systems, yet collecting and annotating large-scale real-world driving datasets is costly and time-consuming. Recent advances in synthetic scene generation and editing have enabled the creation of diverse driving…

Cited by 0Scholar