vace
Datasets
All datasets matching “vace”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/ali-vilab/VACE-Benchmark.vace-aug-224-gr00t
VACE-augmented RoboCasa dataset — 224 episodes (GR00T / LeRobot v2.1)
The exact 224-episode training set used to fine-tune GR00T-1.5 in the VACE-augmentation
baseline. Built by swapping a target object into RoboCasa pick-and-place episodes with the
VACE video-diffusion model, then converting to the GR00T "gr00t_views" (LeRobot v2.1) format.
224 episodes, 62,445 frames, 3 camera views (left_view / right_view / wrist_view
= RoboCasa robot0_agentview_left / robot0_agentview_right… See the full description on the dataset page: https://huggingface.co/datasets/mlnha/vace-aug-224-gr00t.waymo_vace_train_causal_subset10tfix-vacevace-aug
vace-aug — VACE object-swap augmentation for RoboCasa
Code and packed inputs for swapping a target mesh into RoboCasa pick-and-place episodes
with the VACE video-diffusion model (8 target objects x 32 episodes x 3 cameras), built as
a baseline to compare against MimicGen-based augmentation.
aug32/ the augmentation pipeline — start at aug32/README.md
VACE/ ali-vilab/VACE fork carrying the batch flags this needs… See the full description on the dataset page: https://huggingface.co/datasets/mlnha/vace-aug.Wan2.1-VACE