zywer/

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 editing… See the full description on the dataset page: https://huggingface.co/datasets/zywer/VACE-Benchmark.