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cs.CV2026
MM-Future: Multi-Mode Joint World-Action Modeling for Autonomous Driving
Shuai Liu, Hechangle Gong, Hao Jiang +5
Autonomous driving involves coupled decision-making and scene evolution under multi-mode uncertainty. To capture this coupling and uncertainty, we introduce MM-Future, a world-acti…
cs.RO2026
UniDWM: Towards a Unified Driving World Model via Multifaceted Representation Learning
Shuai Liu, Siheng Ren, Xiaoyao Zhu +5
Achieving reliable and efficient planning in complex driving environments requires a model that can reason over the scene's geometry, appearance, and dynamics. We present UniDWM, a…