# YOUNG-bit/open\_semantic\_slam

<https://repo.masters-masters.com/en/repos/YOUNG-bit/open_semantic_slam>

[Home](https://repo.masters-masters.com/en) › [YOUNG-bit](https://repo.masters-masters.com/en/owners/YOUNG-bit) › [open\_semantic\_slam](https://repo.masters-masters.com/en/repos/YOUNG-bit/open_semantic_slam)

YOUNG-bit/open\_semantic\_slam has 314 stars on GitHub. Its RepoMasters card: Alpha tier. ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian…

| Field | Value |
| --- | --- |
| Owner | [YOUNG-bit](https://repo.masters-masters.com/en/owners/YOUNG-bit) |
| Stars | 314 |
| Forks | 8 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | MIT |
| Created | 2025 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [YOUNG-bit/open\_semantic\_slam](https://github.com/YOUNG-bit/open_semantic_slam) |

## Repository

ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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