# VladimirYugay/Gaussian-SLAM

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

Repository: https://github.com/VladimirYugay/Gaussian-SLAM
Canonical: https://ross.abutalabs.com/products/gaussian-slam
Homepage: https://vladimiryugay.github.io/gaussian_slam
Language: Python
License: MIT
License Family: permissive
Topics: slam, 3d-reconstruction, computer-vision, gaussian-splatting, robotics
Last push: 2024-07-03T15:01:05+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 72
- inputs: {"age_days": 1009, "days_push": 791, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1182, forks 89 (observed 2026-08-28T04:03:54.237803+00:00)

## What it is
A research implementation of a dense RGBD SLAM system that uses 3D Gaussian Splatting as its scene representation to photorealistically reconstruct and render real-world scenes. It processes posed RGBD keyframe streams and produces a real-time renderable 3D Gaussian map.

## Use cases
- reconstruct a photorealistic 3D scene from an RGBD video stream
- run SLAM with Gaussian Splatting on Replica, TUM, ScanNet, or ScanNet++ datasets
- render reconstructed real-world scenes in real time
- benchmark against state-of-the-art dense SLAM methods
- research 3D Gaussian scene representations for SLAM
- reproduce paper metrics for RGBD SLAM

## When to choose
- you need photo-realistic dense SLAM from RGBD input
- you want a renderable 3D Gaussian map as SLAM output
- you are doing computer vision or robotics research on SLAM and 3D reconstruction
- you have a CUDA GPU and want to evaluate on standard SLAM benchmarks

## When to avoid
- you need monocular-only SLAM without depth input
- you need a production-ready, deterministic SLAM system
- you lack a modern NVIDIA GPU
- you need lightweight real-time SLAM on embedded hardware

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, graphics, simulation, machine-learning
- domain: computer-vision, robotics, graphics
- platform: python
- tags: slam, gaussian-splatting, 3d-reconstruction, rgbd, photorealistic-rendering, research-code, research, linux, gpu

## Member repositories
- VladimirYugay/Gaussian-SLAM (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.237803+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:24:46.545177+00:00, confidence not recorded.
  - readme: https://github.com/VladimirYugay/Gaussian-SLAM (fetched 2026-08-28T04:03:54.237803+00:00, sha f47127c707f2)
  - homepage: https://vladimiryugay.github.io/gaussian_slam (fetched 2026-08-29T12:31:58.550137+00:00, sha 648e4a6619e2)
- Data as of 2026-08-30T08:39:29.467469+00:00.