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New OpenVE-3M dataset and OpenVE-Edit model advance instruction-guided video editing

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced OpenVE-3M, a large-scale, open-source dataset designed for instruction-guided video editing. The dataset features two main categories of edits: spatially-aligned and non-spatially-aligned, with a focus on quality and diversity surpassing existing datasets. To evaluate performance, they also developed OpenVE-Bench, a benchmark comprising 431 video-edit pairs. A 5B parameter model, OpenVE-Edit, trained on this dataset, achieved state-of-the-art results on OpenVE-Bench, outperforming larger baseline models. AI

IMPACT This dataset and model advance the capabilities and evaluation of instruction-guided video editing, potentially improving tools for content creation.

RANK_REASON The cluster describes a new academic dataset and benchmark for video editing, along with a model trained on it. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New OpenVE-3M dataset and OpenVE-Edit model advance instruction-guided video editing

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The cluster describes a new academic dataset and benchmark for video editing, along with a model trained on it. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Haoyang He, Jie Wang, Jiangning Zhang, Zhucun Xue, Xingyuan Bu, Qiangpeng Yang, Shilei Wen, Lei Xie ·

    OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editing

    arXiv:2512.07826v3 Announce Type: replace Abstract: The quality and diversity of instruction-based image editing datasets are continuously increasing, yet large-scale, high-quality datasets for instruction-based video editing remain scarce. To address this gap, we introduce OpenV…

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