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.