suimu/VIRESET
VIRESET VIRESET is a high-quality video instance editing dataset that provides temporally consistent and precise instance masks. Built upon the foundation of SA-V, VIRESET leverages the pretrained SAM-2 model to enhance the mask annotations from 6 FPS to 24 FPS, further enriched with detailed prompt-based annotations using PLLaVA. This dataset is used in the paper VIRES: Video Instance Repainting with Sketch and Text Guidance. Project page Code: https://github.com/suimuc/VIRES… See the full description on the dataset page: https://huggingface.co/datasets/suimu/VIRESET.
| Author / organization | suimu |
|---|---|
| License (as declared) | mit |
| Downloads | 553 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 9 March 2025 |
| Last updated at source | 30 March 2025 |
Popularity, last 3 days
553 now (+57 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: VIRESET VIRESET is a high-quality video instance editing dataset that provides temporally consistent and precise instance masks. Built upon the foundation of SA-V, VIRESET leverages the pretrained SAM-2 model to enhance the mask annotations → VIRESET VIRESET is a high-quality video instance editing dataset that provides temporally consistent and precise instance masks. Built upon the foundation of SA-V, VIRESET leverages the pretrained SAM-2 model to enhance the mask annotations
Changes detected by Silytics between refreshes of the source.
More from suimu
- suimu/AVISetDataset
- suimu/InsAVE-80KDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.