activity
20242026
most citedMotion-Agent: A Conversational Framework for Human Motion Generation with LLMs

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

World4Scorer: Outcome-Grounded World Modeling for Autonomous Driving

Jieyuan Pei, Meiyi Lu, Sining Ang +12

Autonomous driving requires choosing a safe and efficient plan as surrounding traffic evolves. Generate-and-select planners propose multiple trajectories and score them for executi…

cs.CV2026

Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos

Yubo Zhao, Yujin Chai, Yunao Dong +4

Recovering 4D human-object interaction (HOI) from monocular video is a key step toward scalable 3D content creation, embodied AI, and simulation-based learning. Recent methods can…

cs.CV2026

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos

Chengfeng Zhao, Jiazhi Shu, Yubo Zhao +7

In this paper, we find that the generation of 3D human motions and 2D human videos is intrinsically coupled. 3D motions provide the structural prior for plausibility and consistenc…

cs.AI2025

Navigating Motion Agents in Dynamic and Cluttered Environments through LLM Reasoning

Yubo Zhao, Qi Wu, Yifan Wang +2

This paper advances motion agents empowered by large language models (LLMs) toward autonomous navigation in dynamic and cluttered environments, significantly surpassing first and r…

cs.CV2024★ 1 cited

Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs

Qi Wu, Yubo Zhao, Yifan Wang +3

While previous approaches to 3D human motion generation have achieved notable success, they often rely on extensive training and are limited to specific tasks. To address these cha…