研究人员推出了Goku，一个专为指令视频编辑设计的新数据集和基准。Goku包含200万个视频编辑对，超越了简单的外观编辑，涵盖了复杂的多任务和结构化操作。配套的Goku-Edit模型利用多模态大语言模型进行指令理解，在新提出的Goku-Bench基准上比现有开源模型提高了8%。 AI
影响 提升了指令视频编辑的能力，可能催生更复杂、更具创意的视频处理工具。
排序理由 该集群描述了一篇介绍视频编辑数据集、基准和模型的学术论文。
在 Hugging Face Daily Papers 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
A large-scale video editing dataset and model are introduced that support multi-task and structural manipulations through advanced data synthesis and network architectures.
arXiv:2606.30599v1 Announce Type: new Abstract: Existing instruction-based video editing datasets commonly focus on single-task appearance editing, failing to meet the complex creative demands of real-world scenarios. To bridge this gap, we present Goku, a large-scale dataset fea…
Existing instruction-based video editing datasets commonly focus on single-task appearance editing, failing to meet the complex creative demands of real-world scenarios. To bridge this gap, we present Goku, a large-scale dataset featuring 2 million high-quality, instruction-align…