# yanyan-li/4DGS-SLAM

<https://repo.masters-masters.com/en/repos/yanyan-li/4DGS-SLAM>

[Home](https://repo.masters-masters.com/en) › [yanyan-li](https://repo.masters-masters.com/en/owners/yanyan-li) › [4DGS-SLAM](https://repo.masters-masters.com/en/repos/yanyan-li/4DGS-SLAM)

yanyan-li/4DGS-SLAM has 206 stars on GitHub. Its RepoMasters card: Prototype tier. Instead of removing dynamic objects as distractors and reconstructing only…

| Field | Value |
| --- | --- |
| Owner | [yanyan-li](https://repo.masters-masters.com/en/owners/yanyan-li) |
| Stars | 206 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Topics | dynamic-slam, gaussian-splatting-slam |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yanyan-li/4DGS-SLAM](https://github.com/yanyan-li/4DGS-SLAM) |

## Repository

Instead of removing dynamic objects as distractors and reconstructing only static environments, this paper proposes an efficient architecture that incrementally tracks camera poses and establishes the 4D Gaussian radiance fields in unknown scenarios by using a sequence of RGB-D images.

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.