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 (6 months ago)

Commits 58 (last one 4 months ago)

Stargazers 36 (0 this week)

Watchers 6 (0 this week)

Forks 6

License bsd-3-clause

Ranking

RepositoryStats indexes 584,353 repositories, of these jagennath-hari/RGBD-3DGS-SLAM is ranked #532,160 (9th percentile) for total stargazers, and #297,856 for total watchers. Github reports the primary language for this repository as Shell, for repositories using this language it is ranked #14,143/15,337.

jagennath-hari/RGBD-3DGS-SLAM is also tagged with popular topics, for these it's ranked: computer-vision (#2,848/3081), robotics (#1,156/1251), slam (#413/435), 3d-reconstruction (#363/387), depth-estimation (#149/159)

Other Information

jagennath-hari/RGBD-3DGS-SLAM has Github issues enabled, there is 1 open issue and 5 closed issues.

There have been 1 release, the latest one was published on 2024-05-20 (6 months ago) with the name ros2_humble.

All Topics

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

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

The only known language in this repository is Shell

updated: 2024-11-19 @ 08:26am, id: 803426678 / R_kgDOL-NRdg