5 papers
MemGS: Memory-Efficient Gaussian Splatting for Real-Time SLAM
Yinlong Bai, Hongxin Zhang, Sheng Zhong +4
Recent advancements in 3D Gaussian Splatting (3DGS) have made a significant impact on rendering and reconstruction techniques. Current research predominantly focuses on improving r…
PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding
Hongjia Zhai, Hai Li, Zhenzhe Li +3
Recently, 3D Gaussian Splatting (3DGS) has shown encouraging performance for open vocabulary scene understanding tasks. However, previous methods cannot distinguish 3D instance-lev…
NeuraLoc: Visual Localization in Neural Implicit Map with Dual Complementary Features
Hongjia Zhai, Boming Zhao, Hai Li +5
Recently, neural radiance fields (NeRF) have gained significant attention in the field of visual localization. However, existing NeRF-based approaches either lack geometric constra…
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
Weijian Xie, Guanyi Chu, Quanhao Qian +7
Dense SLAM based on monocular cameras does indeed have immense application value in the field of AR/VR, especially when it is performed on a mobile device. In this paper, we propos…
PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Danpeng Chen, Hai Li, Weicai Ye +7
Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-quality rendering, and ultra-fast training and rendering speed. However, due to the unstru…