1 citations · 1 across the 7 of their papers we have counts for
7 papers
ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine
Yukang Cao, Haozhe Xie, Beichen Wen +13
Embodied intelligence faces a fundamental data bottleneck. Models must capture how first-person perception, whole-body motion, dexterous manipulation, object state, sound, and touc…
Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild
Lingni Ma, Yuting Ye, Fangzhou Hong +14
We introduce Nymeria - a large-scale, diverse, richly annotated human motion dataset collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) fu…
Generative Gaussian Splatting for Unbounded 3D City Generation
Haozhe Xie, Zhaoxi Chen, Fangzhou Hong +1
3D city generation with NeRF-based methods shows promising generation results but is computationally inefficient. Recently 3D Gaussian Splatting (3D-GS) has emerged as a highly eff…
FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls
Tao Hu, Fangzhou Hong, Zhaoxi Chen +1
We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visu…
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D Generation
Ziang Cao, Fangzhou Hong, Tong Wu +2
Generating diverse and high-quality 3D assets automatically poses a fundamental yet challenging task in 3D computer vision. Despite extensive efforts in 3D generation, existing opt…
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
Tao Hu, Fangzhou Hong, Ziwei Liu
Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods…
StructLDM: Structured Latent Diffusion for 3D Human Generation
Tao Hu, Fangzhou Hong, Ziwei Liu
Recent 3D human generative models have achieved remarkable progress by learning 3D-aware GANs from 2D images. However, existing 3D human generative methods model humans in a compac…