# MatAnyone (CVPR 2025)

- id: src_01M569EEKGPW89ECGTYG6AEA9S
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T11 · tags: level:advanced, matting, video-matting, memory-propagation, non-commercial, code:python
- updated: 2026-10-18T01:24:33.081Z
- url: https://veyrul.com/sources/src_01M569EEKGPW89ECGTYG6AEA9S

Source: https://github.com/pq-yang/matanyone

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Target-assigned video matting with consistent memory propagation (CVPR 2025): give a first-frame mask, get stable alpha through the clip. Superseded by MatAnyone 2.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Peiqing Yang et al. (S-Lab, NTU)",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": "https://github.com/pq-yang/MatAnyone2",
  "hardware_notes": null,
  "known_limitations": [
    "Non-commercial license."
  ],
  "upstream_updated_at": "2026-03-04T15:52:40.000Z"
}
```

Evidence claims:
- [sourced_fact] README header points to the new release MatAnyone 2; later updates (2026.03) add training code and evaluation scripts. · locator: README, top · source: https://github.com/pq-yang/MatAnyone
- [sourced_fact] README License: licensed under NTU S-Lab License 1.0; LICENSE grants redistribution and use for non-commercial purpose. · locator: README License; LICENSE header · source: https://github.com/pq-yang/MatAnyone
- [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-NTU-S-Lab-1.0 hosting=restricted redistribution=restricted modification=restricted training=unknown · S-Lab License 1.0: redistribution and use for non-commercial purpose only, with attribution and no-endorsement conditions. · evidence: https://github.com/pq-yang/MatAnyone/blob/main/LICENSE
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · README declares the project under S-Lab License; weights terms not separately verified. · evidence: https://github.com/pq-yang/MatAnyone

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