# spla-tam/SplaTAM

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

Repository: https://github.com/spla-tam/SplaTAM
Canonical: https://ross.abutalabs.com/products/splatam
Homepage: https://spla-tam.github.io/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: computer-vision, gaussian-splatting, robotics, slam, cvpr2024
Last push: 2024-06-19T09:46:15+00:00

## Health v2 (maintenance only)
Score: 17/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 71
- inputs: {"age_days": 1007, "days_push": 805, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2186, forks 252 (observed 2026-08-28T04:06:23.707816+00:00)

## What it is
SplaTAM is a dense RGB-D SLAM system that uses 3D Gaussian splatting for high-fidelity scene reconstruction and precise camera tracking from a single unposed RGB-D camera. It is the research code accompanying a CVPR 2024 paper, implemented in Python with PyTorch and CUDA.

## Use cases
- run dense RGB-D SLAM with 3D Gaussian splatting
- track camera pose from unposed RGB-D video
- reconstruct high-fidelity 3D maps from RGB-D sequences
- benchmark SLAM methods on ScanNet, Replica, and TUM datasets
- render novel views from a reconstructed Gaussian map
- reconstruct scenes from iPhone RGB-D captures

## When to choose
- you need state-of-the-art dense SLAM with explicit 3D Gaussian maps
- you want high-fidelity reconstruction and novel-view synthesis from RGB-D input
- you are doing robotics or AR research requiring accurate camera tracking
- you want a reproducible CVPR 2024 SLAM baseline for benchmarking

## When to avoid
- you need real-time SLAM on resource-constrained hardware
- you only have monocular RGB without depth
- you need a production-ready, maintained SLAM product rather than research code
- you lack a CUDA-capable GPU

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, machine-learning, simulation, graphics
- domain: computer-vision, robotics, autonomous-vehicles, graphics
- platform: python
- tags: slam, gaussian-splatting, rgb-d, camera-tracking, 3d-reconstruction, cvpr-2024, research-code, linux, gpu, docker

## Member repositories
- spla-tam/SplaTAM (main) score 17

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.707816+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 2026-08-30T02:47:55.635075+00:00, confidence not recorded.
  - readme: https://github.com/spla-tam/SplaTAM (fetched 2026-08-28T04:06:23.707816+00:00, sha 75a933891bb0)
  - homepage: https://spla-tam.github.io/ (fetched 2026-08-29T10:28:09.797197+00:00, sha 81b2643fa2e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.