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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-24 | 284 |
| 2026-07-25 | 284 |
| 2026-07-28 | 284 |
| 2026-07-30 | 284 |
| 2026-08-06 | 284 |
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<p align="center"> <h1 align="center"> Awesome 3DGS SLAM </h1> </p> This repository contains a curated list of resources addressing the 3DGS (3D Gaussian Splatting) SLAM, includinig image sensor, event camera, and LiDAR, etc. If you find some ignored papers, **feel free to [*create pull requests*](https://github.com/KwanWaiPang/Awesome-Transformer-based-SLAM/blob/pdf/How-to-PR.md), or [*open issues*](https://github.com/KwanWaiPang/Awesome-3DGS-SLAM/issues/new)**. Contributions in any form to make this list more comprehensive are welcome. If you find this repository useful, a simple star should be the best affirmation. 😊 Feel free to share this list with others! # Overview - [Image-based 3DGS](#Image-based-3DGS) - [LiDAR-based 3DGS](#LiDAR-based-3DGS) - [Event-based 3DGS](#Event-based-3DGS) <!-- |---|`arXiv`|---|---|---| --> <!-- []() --> ## Image-based 3DGS | Year | Venue | Paper Title | Repository | Note | |:----:|:-----:| ----------- |:----------:|:----:| |2026|`arXiv`|[LangGS-SLAM: Real-Time Language-Feature Gaussian Splatting SLAM](https://arxiv.org/pdf/2602.06991)|---|从VLM（一个语义分割模型）中嵌入三维特征场，实现开放词汇和大语言模型交互式感知；3DGS部分用的GICP| |2026|`arXiv`|[PointSLAM++: Robust Dense Neural Gaussian Point Cloud-based SLAM](https://arxiv.org/pdf/2601.11617)|---|混合Neural（MLP）-Gaussian representation，pose优化采用GICP+ORB重投影误差融合| |2026|`arXiv`|[PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction](https://arxiv.org/pdf/2601.22046)|---|[website](https://city-super.github.io/PLANING/)<br>Mesh+3DGS混合表征:用Mesh构建稳定几何骨架，用3DGS填充视觉细节;前端采用MASt3R等前馈模型预测pointmap和相机姿态| |2026|`Neurocomputing`|[2D Gaussian Primitive SLAM: Real-Time Dense SLAM with 2D Gaussian Primitives](https://www.sciencedirect.com/science/article/pii/S0925231226001190)|---|---| |2026|`arXiv`|[FeatureSLAM: Feature-enriched 3D gaussian splatting SLAM in real time](https://arxiv.org/pdf/2601.05738)|---|---| |2026|`Pattern Recognition`|[RGD-SLAM: Robust Gaussian Splatting SLAM for Dynamic Environments](https://www.sciencedirect.com/science/article/pii/S0031320326000348)|[](https://github.com/00Haocheng/RGD-SLAM)|---| |2026|`Proceedings of the IEEE International Symposium on High Performance Computer Architecture`|[Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing](https://arxiv.org/pdf/2511.18755)|---|[website](https://stonesix16.github.io/splatonic/)| |2025|`IROS`|[Pseudo Depth Meets Gaussian: A Feed-forward RGB SLAM Baseline](https://arxiv.org/pdf/2508.04597?)|[](https://github.com/wangyr22/DepthGS)|单目深度估计模型生成伪深度图+3D高斯实现高效在线重建| |2025|`arXiv`|[RGS-SLAM: Robust Gaussian Splatting SLAM with One-Shot Dense Initialization](https://arxiv.org/pdf/2601.00705)|---|---| |2025|`RAL`|[MANG-SLAM: Multi-Agent Neural Submap and Gaussian Representation for Dense Mapping](https://ieeexplore.ieee.org/abstract/document/11297803/)|---|NeRF+3DGS+多机融合建图| |2025|`RAL`|[DQO-MAP: Real-Time Object-Level SLAM With Dual Quadrics and Gaussians](https://ieeexplore.ieee.org/abstract/document/11266903/)|[](https://github.com/LiHaoy-ux/DQO-MAP)|---| |2025|`arXiv`|[ATLAS Navigator: Active Task-driven LAnguage-embedded Gaussian Splatting](https://arxiv.org/pdf/2502.20386)|---|[website](https://atlasnav.github.io/)| |2025|`arXiv`|[D2GSLAM: 4D Dynamic Gaussian Splatting SLAM](https://arxiv.org/pdf/2512.09411)|---|---| |2025|`arXiv`|[LEGO-SLAM: Language-Embedded Gaussian Optimization SLAM](https://arxiv.org/pdf/2511.16144)|[](https://github.com/Lab-of-AI-and-Robotics/LEGO-SLAM)|[website](https://lab-of-ai-and-robotics.github.io/LEGO-SLAM/)| |2025|`arXiv`|[Robust 3DGS-based SLAM via Adaptive Kernel
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