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English(EN) TV-AudioRemover: Joint Text-Visual Guided Sound Removal with Multi-Task Hard-Mixture Curriculum

新的TV-AudioRemover框架实现了视频中多模态声音移除

研究人员推出TV-AudioRemover,一个新颖的框架,旨在从视频中移除与特定视觉对象相关的声音。与依赖单模态控制的先前方法不同,TV-AudioRemover利用视觉编辑的视频和自然语言指令进行更有效的多模态引导。该项目还包括创建一个用于训练的大规模数据集,一个名为AV-Remove-Bench的用于评估的综合基准,以及一个基于MLLM的评估协议。 AI

影响 这项研究通过实现与视觉编辑同步的精确音频操作,可能带来更复杂的视频编辑工具。

排序理由 这是一篇描述新方法和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的TV-AudioRemover框架实现了视频中多模态声音移除

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这是一篇描述新方法和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Xinyue Guo, Jianxuan Yang, Daiguo Zhou, Jiagao Hu, Yuxuan Chen, Fei Wang, Jian Luan ·

    TV-AudioRemover:联合文本-视觉引导的音频移除与多任务硬混合课程

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