GS-Pose: Generalizable egmentation-based 6D
Object Pose Estimation with 3D Gaussian Splatting
- Dingding Cai Tampere University
- Janne Heikkilä University of Oulu
- Esa Rahtu Tampere University
International Conference on 3D Vision 2025
Overview of GS-Pose
(1). Create the reference database for a newly added object
(2). Perform pose estimation for the added object
(Additional) (3). Perform pose tracking for the added object
Comparison with OnePose++
All results are from single-frame pose estimation without tracking. Ours achieves relatively more stable and accurate results.
Pose Tracking Results
We compare the pose estimation results with/without pose tracking.
Quantitative Results
