3 papers
cs.RO2026
GeoGS-SLAM: Geometry-Only Gaussian Splatting for Dense Monocular SLAM
Lipu Zhou, Yaoyun Kang, Junxiang Pang +3
Dense visual SLAM is a fundamental problem in robotics. Recent advances in 3DGS have demonstrated its potential for dense SLAM. Existing 3DGS frameworks focus on both appearance an…
cs.RO2026
HyVGGT-VO: Tightly Coupled Hybrid Dense Visual Odometry with Feed-Forward Models
Junxiang Pan, Lipu Zhou, Baojie Chen
Dense visual odometry (VO), which provides pose estimation and dense 3D reconstruction, serves as the cornerstone for applications ranging from robotics to augmented reality. Recen…
cs.CV2025
Camera Pose Refinement via 3D Gaussian Splatting
Lulu Hao, Lipu Zhou, Zhenzhong Wei +1
Camera pose refinement aims at improving the accuracy of initial pose estimation for applications in 3D computer vision. Most refinement approaches rely on 2D-3D correspondences wi…