---
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",
}
```