# jagennath-hari/RGBD-3DGS-SLAM

<https://repo.masters-masters.com/en/repos/jagennath-hari/RGBD-3DGS-SLAM>

[Home](https://repo.masters-masters.com/en) › [jagennath-hari](https://repo.masters-masters.com/en/owners/jagennath-hari) › [RGBD-3DGS-SLAM](https://repo.masters-masters.com/en/repos/jagennath-hari/RGBD-3DGS-SLAM)

jagennath-hari/RGBD-3DGS-SLAM has 114 stars on GitHub. Its RepoMasters card: Prototype tier. RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian…

| Field | Value |
| --- | --- |
| Owner | [jagennath-hari](https://repo.masters-masters.com/en/owners/jagennath-hari) |
| Stars | 114 |
| Forks | 15 |
| Language | [Shell](https://repo.masters-masters.com/en/languages/shell) |
| License | BSD-3-Clause |
| Created | 2024 |
| Topics | 3d-reconstruction, 3dgs-slam, computer-vision, depth-estimation, guassian-splatting, robotics, slam, visual-odometry |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jagennath-hari/RGBD-3DGS-SLAM](https://github.com/jagennath-hari/RGBD-3DGS-SLAM) |

## Repository

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 dept…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.