5 papers · 1 filter
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…
Yan: Foundational Interactive Video Generation
Deheng Ye, Fangyun Zhou, Jiacheng Lv +15
We present Yan, a foundational framework for interactive video generation, covering the entire pipeline from simulation and generation to editing. Specifically, Yan comprises three…
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…
HumanCoser: Layered 3D Human Generation via Semantic-Aware Diffusion Model
Yi Wang, Jian Ma, Ruizhi Shao +3
This paper aims to generate physically-layered 3D humans from text prompts. Existing methods either generate 3D clothed humans as a whole or support only tight and simple clothing…
Layered 3D Human Generation via Semantic-Aware Diffusion Model
Yi Wang, Jian Ma, Ruizhi Shao +4
The generation of 3D clothed humans has attracted increasing attention in recent years. However, existing work cannot generate layered high-quality 3D humans with consistent body s…