# Robust Video Matting (RVM)

- id: src_01M569EEJQZ45XKRSKJ6KD2TWN
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T11 · tags: level:established, matting, green-screen-free, human-matting, real-time, onnx, code:python
- updated: 2026-10-18T01:24:32.280Z
- url: https://veyrul.com/sources/src_01M569EEJQZ45XKRSKJ6KD2TWN

Source: https://github.com/peterl1n/robustvideomatting

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Recurrent real-time human video matting without trimaps or background plates (ONNX, CoreML, TF.js exports). A baseline for fast person mattes when a clean plate or green screen is unavailable.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "PeterL1n",
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Human subjects only; no pushes since 2024-04."
  ],
  "upstream_updated_at": "2024-04-02T16:26:48.000Z"
}
```

Evidence claims:
- [upstream_claim] README: RVM is designed specifically for robust human video matting, uses a recurrent network with temporal memory, runs without additional inputs; reports 4K 76 FPS and HD 104 FPS (on the hardware listed in the README table). · locator: README, intro · source: https://github.com/PeterL1n/RobustVideoMatting
- [sourced_fact] README news: code re-released under GPL-3.0 on Sep 16 2021; PyTorch, TensorFlow, TF.js, ONNX and CoreML variants offered. · locator: README, news/updates · source: https://github.com/PeterL1n/RobustVideoMatting
- [sourced_fact] GitHub metadata: GPL-3.0, not archived, last push 2024-04-02. · locator: repository metadata · source: https://github.com/PeterL1n/RobustVideoMatting
- [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=GPL-3.0 hosting=permitted redistribution=restricted modification=permitted training=unknown · Copyleft GPL-3.0 per README/GitHub. · evidence: https://github.com/PeterL1n/RobustVideoMatting
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Pretrained model license not stated separately in the text read; unchecked. · evidence: https://github.com/PeterL1n/RobustVideoMatting

Use this evidence:
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