jagennath-hari / RGBD-3DGS-SLAM

RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera intrinsics from RGB images alone, with optional support for additional camera information and depth maps.

Date Created 2024-05-20 (9 months ago)

Commits 59 (last one 3 months ago)

Stargazers 58 (0 this week)

Watchers 6 (0 this week)

Forks 10

License bsd-3-clause

Ranking

RepositoryStats indexes 623,448 repositories, of these jagennath-hari/RGBD-3DGS-SLAM is ranked #439,567 (29th percentile) for total stargazers, and #304,780 for total watchers. Github reports the primary language for this repository as Shell, for repositories using this language it is ranked #11,658/16,295.

jagennath-hari/RGBD-3DGS-SLAM is also tagged with popular topics, for these it's ranked: computer-vision (#2,434/3250), robotics (#1,009/1360), slam (#390/464), 3d-reconstruction (#345/423), depth-estimation (#129/181)

Other Information

There have been 1 release, the latest one was published on 2024-05-20 (9 months ago) with the name ros2_humble.

All Topics

slam robotics 3dgs-slam computer-vision visual-odometry depth-estimation 3d-reconstruction guassian-splatting

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

59 commits on the default branch (main) since jan '22

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Issue History

Languages

The only known language in this repository is Shell

updated: 2025-02-25 @ 10:45pm, id: 803426678 / R_kgDOL-NRdg