| --- |
| license: other |
| license_name: vgg-syncnet-research-cc-by |
| license_link: https://www.robots.ox.ac.uk/~vgg/software/lipsync/ |
| library_name: pytorch |
| tags: |
| - audio-visual |
| - lip-sync |
| - syncnet |
| --- |
| |
| # SyncNet `syncnet_v2.model` (unchanged copy) |
| |
| **Status**: public copy, uploaded on 2026-11-12 to `saracen9/syncnet-v2` by the owner of curu-vision |
| (curu-vision spec 023, research R1.5: the owner's choice of the weights source). |
| |
| This repository holds an unchanged copy of the file `syncnet_v2.model`. The copy has the same |
| bytes as the file at the original download URL. curu-vision loads it in the sync port, through |
| its pin `syncnet-v2`. |
|
|
| ## The file |
|
|
| | Field | Value | |
| |---|---| |
| | File | `syncnet_v2.model` | |
| | Size | 54,573,114 bytes | |
| | SHA-256 | `961e8696f888fce4f3f3a6c3d5b3267cf5b343100b238e79b2659bff2c605442` | |
| | Downloaded | 2026-11-12 | |
| | Change | None. The file is an unchanged copy of the original file. | |
|
|
| ## The original source |
|
|
| | Field | Value | |
| |---|---| |
| | Original download URL | `http://www.robots.ox.ac.uk/~vgg/software/lipsync/data/syncnet_v2.model`, in `download_model.sh` of the code repository. curu-vision pins the same path over HTTPS: `https://www.robots.ox.ac.uk/~vgg/software/lipsync/data/syncnet_v2.model` | |
| | Download page | [VGG: Out of time: automated lip sync in the wild](https://www.robots.ox.ac.uk/~vgg/software/lipsync/) | |
| | Code repository | [joonson/syncnet_python](https://github.com/joonson/syncnet_python) | |
| | Code revision | `907c0b579c2e2d83f0eae1b2ac9e720cde4e5623` (2026-04-17). The weights file is not in the code repository, so the file itself has no revision. The SHA-256 above identifies it. | |
| | Paper | J. S. Chung and A. Zisserman, "Out of time: automated lip sync in the wild", Workshop on Multi-view Lip-reading, ACCV, 2016 ([PDF](https://www.robots.ox.ac.uk/~vgg/publications/2016/Chung16a/chung16a.pdf)) | |
| | Authors | Joon Son Chung and Andrew Zisserman | |
|
|
| ## Licence and terms |
|
|
| - **Code licence**: MIT. `LICENSE.md` of the code repository starts with "Copyright (c) |
| 2016-present Joon Son Chung." ([LICENSE.md](https://github.com/joonson/syncnet_python/blob/907c0b579c2e2d83f0eae1b2ac9e720cde4e5623/LICENSE.md)). |
| - **Terms of the weights**: the download page says: "The model can be used for research |
| purposes under Creative Commons Attribution License." It also says: "Please cite [1] if you |
| make use of the software." ([download page](https://www.robots.ox.ac.uk/~vgg/software/lipsync/)). |
| The code repository says: "Please cite the paper below if you make use of the software." |
| ([README.md](https://github.com/joonson/syncnet_python/blob/907c0b579c2e2d83f0eae1b2ac9e720cde4e5623/README.md)). |
| - The owner of curu-vision accepted these terms on 2026-11-12 (curu-vision spec 023, research R1.4: the owner's choice of the weights). |
|
|
| ## Training data |
|
|
| - **The released model**: not stated. The download page and the code repository do not say |
| which data trained `syncnet_v2.model`. |
| - **The paper**: the paper trains SyncNet on BBC television videos. The download page thanks |
| "Rob Cooper and Matt Haynes at BBC Research for help in obtaining the dataset". |
| - The download page also says: "This network can be trained from audio-visual speech |
| datasets, such as VoxCeleb2 or LRS." It does not say that the released model was trained |
| on them. |
|
|
| - **This copy**: it does not change the terms of the original file or of its training |
| data. Check those terms, and the terms of the training datasets, before you use the file. |
|
|
| ## Use in curu-vision |
|
|
| - The sync port of curu-vision (`load_sync_detector`) loads the file into its own copy of the |
| network of `SyncNetModel.py`, with the MIT notice. |
| - The integration tier of curu-vision runs the port and `SyncNetInstance.py` of the code |
| repository on the same crops of the demo clip. Both give the offset 3 and the confidence |
| 9.4839. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @InProceedings{Chung16a, |
| author = "Chung, J.~S. and Zisserman, A.", |
| title = "Out of time: automated lip sync in the wild", |
| booktitle = "Workshop on Multi-view Lip-reading, ACCV", |
| year = "2016", |
| } |
| ``` |
|
|
