Robust Video Matting (RVM)
Source: https://github.com/peterl1n/robustvideomatting
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"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",
"source_owner": "PeterL1n",
"next_check_at": "2026-11-16T00:00:00.000Z",
"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
- [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
- [sourced_fact] GitHub metadata: GPL-3.0, not archived, last push 2024-04-02. · locator: repository metadata 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 | GPL-3.0 | permitted | restricted | permitted | unknown | Copyleft GPL-3.0 per README/GitHub. |
| model_weights | unknown | unknown | unknown | unknown | unknown | Pretrained model license not stated separately in the text read; unchecked. |