SplaTAM
Source: https://github.com/spla-tam/splatam
Structured fields
{
"archived": false,
"revision": {
"ref": "main",
"pinned": false
},
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "CVPR 2024 dense RGB-D SLAM using Gaussian splats (Splat, Track, Map), with scripts to capture iPhone RGB-D data via NeRFCapture; a BSD-3 alternative route for phone-based live capture.",
"source_type": "repository",
"availability": "available",
"source_owner": "SplaTAM authors",
"next_check_at": "2026-11-16T00:00:00.000Z",
"known_limitations": [
"Requires RGB-D input; no push since Jun 2024."
],
"upstream_updated_at": "2024-06-19T09:46:15.000Z"
}Evidence claims
- [upstream_claim] README: 'SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM'; documents online capture and offline runs including an iPhone dataset capture script via NeRFCapture. · locator: README, dataset collection section source
- [sourced_fact] LICENSE is BSD 3-Clause; repo metadata: not archived, last push 2024-06-19. · locator: LICENSE header source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | BSD-3-Clause | permitted | permitted | permitted | unknown | BSD-3-Clause for the repo; third-party components (e.g. rasteriser) not checked. |