6 papers
Scalable Multi-Human Cooperative Manipulation via Commander-Executor Coordination
Buzhen Huang, Xingchen Wu, Yuanwang Yang +2
Multi-human cooperative object manipulation is a highly challenging topic in humanoid control. While existing methods can handle simple collaborative carrying tasks, they struggle…
Feed-Forward Multi-view Multi-person Reconstruction with Contrastive Human-Aware 3D Representation
Yuanwang Yang, Buzhen Huang, Zongxuan Ren +2
Multi-view human reconstruction has been extensively studied under simplified settings, yet robust and efficient multi-person reconstruction in unconstrained environments remains c…
Crowd4D: Scene-Aware Monocular 4D Crowd Reconstruction
Hongbo Kang, Tianyi Zhou, Qingyang Yang +4
Recovering scene-consistent 4D crowd motion from monocular video in large-scale scenes remains challenging due to severe depth ambiguity and complex scene geometry. Existing monocu…
DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video
Hao Wen, Hongbo Kang, Jian Ma +5
3D reconstruction of dynamic crowds in large scenes has become increasingly important for applications such as city surveillance and crowd analysis. However, current works attempt…
RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters
Xiaolin Liu, Tianyi Zhou, Hongbo Kang +6
Crowd evacuation simulation is critical for enhancing public safety, and demanded for realistic virtual environments. Current mainstream evacuation models overlook the complex huma…
RCR: Robust Crowd Reconstruction with Upright Space from a Single Large-scene Image
Jing Huang, Hao Wen, Tianyi Zhou +3
This paper focuses on spatially consistent hundreds of human pose and shape reconstruction from a single large-scene image with various human scales under arbitrary camera FoVs (Fi…