ProPainter (video inpainting, ICCV 2023)
Source: https://github.com/sczhou/propainter
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Propagation + transformer video inpainting for object and wire removal and clean-plate generation, with memory-saving sub-video chunking. Widely used baseline for rig/wire removal experiments.",
"source_type": "repository",
"availability": "available",
"source_owner": "Shangchen Zhou et al. (S-Lab, NTU)",
"next_check_at": "2026-10-31T00:00:00.000Z",
"hardware_notes": "GPU memory scales with sub-video length; see README table.",
"known_limitations": [
"Non-commercial only."
],
"upstream_updated_at": "2025-02-19T12:07:56.000Z"
}Evidence claims
- [upstream_claim] README: memory-efficient inference options (e.g. --subvideo_length default 80) decouple GPU memory from video length; requires CUDA >= 9.2. · locator: README, memory-efficient inference source
- [sourced_fact] README License: 'Non-Commercial Use Only Declaration' - code and models licensed under NTU S-Lab License 1.0; commercial permission via the author. · locator: README, License source
- [sourced_fact] GitHub metadata: not archived, last push 2025-02-19; GitHub reports NOASSERTION for the S-Lab license. · 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 | LicenseRef-NTU-S-Lab-1.0 | restricted | restricted | restricted | unknown | Redistribution and use for non-commercial purpose only (LICENSE text). |
| model_weights | LicenseRef-NTU-S-Lab-1.0 | restricted | restricted | restricted | unknown | README says 'the code and models' are under the non-commercial S-Lab License. |