29 citations · 38 across the 11 of their papers we have counts for
11 papers
SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation
Wanqi Yin, Zhongang Cai, Ruisi Wang +12
Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…
Differentiable Convex Polyhedra Optimization from Multi-view Images
Daxuan Ren, Haiyi Mei, Hezi Shi +3
This paper presents a novel approach for the differentiable rendering of convex polyhedra, addressing the limitations of recent methods that rely on implicit field supervision. Our…
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
Qingping Sun, Yanjun Wang, Ailing Zeng +8
Expressive human pose and shape estimation (a.k.a. 3D whole-body mesh recovery) involves the human body, hand, and expression estimation. Most existing methods have tackled this ta…
WHAC: World-grounded Humans and Cameras
Wanqi Yin, Zhongang Cai, Ruisi Wang +9
Estimating human and camera trajectories with accurate scale in the world coordinate system from a monocular video is a highly desirable yet challenging and ill-posed problem. In t…
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
Zhaoxi Chen, Fangzhou Hong, Haiyi Mei +3
We present PrimDiffusion, the first diffusion-based framework for 3D human generation. Devising diffusion models for 3D human generation is difficult due to the intensive computati…
Digital Life Project: Autonomous 3D Characters with Social Intelligence
Zhongang Cai, Jianping Jiang, Zhongfei Qing +20
In this work, we present Digital Life Project, a framework utilizing language as the universal medium to build autonomous 3D characters, who are capable of engaging in social inter…
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Zhongang Cai, Wanqi Yin, Ailing Zeng +10
Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
Shoukang Hu, Fangzhou Hong, Tao Hu +5
3D human generation from 2D images has achieved remarkable progress through the synergistic utilization of neural rendering and generative models. Existing 3D human generative mode…
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Zhitao Yang, Zhongang Cai, Haiyi Mei +12
Synthetic data has emerged as a promising source for 3D human research as it offers low-cost access to large-scale human datasets. To advance the diversity and annotation quality o…
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction
Wenjia Wang, Yongtao Ge, Haiyi Mei +6
As it is hard to calibrate single-view RGB images in the wild, existing 3D human mesh reconstruction (3DHMR) methods either use a constant large focal length or estimate one based…
SHERF: Generalizable Human NeRF from a Single Image
Shoukang Hu, Fangzhou Hong, Liang Pan +3
Existing Human NeRF methods for reconstructing 3D humans typically rely on multiple 2D images from multi-view cameras or monocular videos captured from fixed camera views. However,…