# Mip-Splatting: Alias-free 3D Gaussian Splatting

- id: src_01M569EJJEVK5RQ5N1JH54FN43
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T15 · tags: gaussian-splatting, anti-aliasing, multi-scale, non-commercial, level:advanced, code:python, code:cuda
- updated: 2026-10-18T01:24:01.622Z
- url: https://veyrul.com/sources/src_01M569EJJEVK5RQ5N1JH54FN43

Source: https://github.com/autonomousvision/mip-splatting

Derivative of the reference implementation (GitHub fork flag false, but README and license show the lineage).

```json
{
  "archived": false,
  "revision": {
    "ref": "main",
    "pinned": false
  },
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": "https://github.com/graphdeco-inria/gaussian-splatting",
  "usefulness": "CVPR 2024 best-student-paper method adding a 3D smoothing filter and 2D Mip filter to 3DGS so renders stay clean when zooming in or out; relevant to camera moves that change focal length or distance from the captured location.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "graphdeco-inria/gaussian-splatting code base"
  ],
  "source_owner": "autonomousvision (GitHub org)",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "No push since 2024-12; static scenes only."
  ],
  "upstream_updated_at": "2024-12-17T10:42:50.000Z"
}
```

Evidence claims:
- [upstream_claim] README: introduces a 3D smoothing filter and a 2D Mip filter for 3DGS 'eliminating multiple artifacts and achieving alias-free renderings'; includes multi-scale Blender dataset conversion script. · locator: README intro · source: https://github.com/autonomousvision/mip-splatting
- [sourced_fact] LICENSE.md is the same Inria/MPII Gaussian-Splatting License header as the reference implementation (non-commercial research terms). · source: https://github.com/autonomousvision/mip-splatting/blob/main/LICENSE.md
- [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:
- code: license=LicenseRef-Gaussian-Splatting-Inria-MPII-NonCommercial hosting=restricted redistribution=restricted modification=restricted training=unknown · Derived from the Inria code; carries the research/non-commercial license. Commercial use needs consent from the licensors. · evidence: https://github.com/autonomousvision/mip-splatting/blob/main/LICENSE.md

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