4 papers
Rethinking Pose Refinement in 3D Gaussian Splatting under Pose Prior and Geometric Uncertainty
Mangyu Kong, Jaewon Lee, Seongwon Lee +1
3D Gaussian Splatting (3DGS) has recently emerged as a powerful scene representation and is increasingly used for visual localization and pose refinement. However, despite its high…
HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place Recognition
Suhan Woo, Seongwon Lee, Jinwoo Jang +1
Visual environments are inherently hierarchical, as a panoramic view naturally encompasses and organizes multiple perspective views within its field. Capturing this hierarchy is cr…
Fast Global Localization on Neural Radiance Field
Mangyu Kong, Seongwon Lee, Jaewon Lee +1
Neural Radiance Fields (NeRF) presented a novel way to represent scenes, allowing for high-quality 3D reconstruction from 2D images. Following its remarkable achievements, global l…
DGS-SLAM: Gaussian Splatting SLAM in Dynamic Environment
Mangyu Kong, Jaewon Lee, Seongwon Lee +1
We introduce Dynamic Gaussian Splatting SLAM (DGS-SLAM), the first dynamic SLAM framework built on the foundation of Gaussian Splatting. While recent advancements in dense SLAM hav…