Wenkang Shan — accepted AI-conference papers

2023

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang +2

ICCV 2023poster

In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D human pose estimation. On the one hand, D3DP generates multiple possible 3D pose hypotheses for a single 2D observation. It…

Cited by 125 PDF ↗code ↗Scholar ↗

2022

P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao

ECCV 2022poster

"This paper introduces a novel Pre-trained Spatial Temporal Many-to-One (P-STMO) model for 2D-to-3D human pose estimation task. To reduce the difficulty of capturing spatial and temporal information, we divide this task into two stages: pre-training (Stage I) and fine-tuning (Stage II). In Stage I,…

Cited by 192 Source ↗PDF ↗code ↗Scholar ↗