Wubin Shi

2 accepted papers

2026

PoseGaussian: 6D Pose Estimation for Unseen Objects via Sparse-View Object-Level 3D Gaussian Splatting

CVPR 2026

6D pose estimation is a key technology in computer vision and robotic manipulation. However, many methods remain heavily dependent on CAD models that are difficult to obtain. Object-level 3D reconstruction provides an alternative route, and 3D Gaussian Splatting (3DGS) shows convincing potential owi

Cited by 0 Source ↗Scholar ↗

2025

SamPose: Generalizable Model-Free 6D Object Pose Estimation via Single-View Prompt

Wubin Shi, Shaoyan Gai, Feipeng Da, Zeyu Cai

RA-L 2025

Object pose estimation in open-world scenarios is a critical challenge in robotics, virtual reality, and autonomous driving. In this letter, we introduce SamPose, a novel framework designed to achieve model-free 6DoF pose estimation of any target object in open-world environments using only a single

Cited by 3 Source ↗Scholar ↗