ali-vilab/VACE-Benchmark
VACE: All-in-One Video Creation and Editing (ICCV 2025) Zeyinzi Jiang* · Zhen Han* · Chaojie Mao*† · Jingfeng Zhang · Yulin Pan · Yu Liu Tongyi Lab - Introduction VACE is an all-in-one model designed for video creation and editing. It encompasses various tasks, including reference-to-video generation (R2V), video-to-video editing (V2V), and masked video-to-video… See the full description on the dataset page: https://huggingface.co/datasets/ali-vilab/VACE-Benchmark.
| Author / organization | ali-vilab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2.6K (as reported by Hugging Face) |
| Likes | 21 |
| Created | 1 April 2025 |
| Last updated at source | 17 October 2025 |
Connected in the knowledge graph
- ali-vilab/VACE-Wan2.1-1.3B-PreviewModel · used to train
Recent changes
- 16 Oct 2026 Description: VACE: All-in-One Video Creation and Editing (ICCV 2025) Zeyinzi Jiang* · Zhen Han* · Chaojie Mao*† · Jingfeng Zhang · Yulin Pan · Yu Liu Tongyi Lab - Introduction VACE is an all-in-one model designed for video creation and editing. It encom → VACE: All-in-One Video Creation and Editing (ICCV 2025) Zeyinzi Jiang* · Zhen Han* · Chaojie Mao*† · Jingfeng Zhang · Yulin Pan · Yu Liu Tongyi Lab - Introduction VACE is an all-in-one model designed for video creation and editing. It encom
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