Scholarlink

<p>With the rapid advancement of digital media, video content has become a primary medium for information dissemination and entertainment. Background music plays a crucial role in enhancing emotional immersion and guiding narrative rhythm. However, generating high-quality music for long videos remains challenging due to complex scene transitions and diverse emotional tones. This paper introduces a novel hierarchical multi-agent framework that generates semantically consistent, temporally aligned, and stylistically coherent music for long videos. Our approach integrates storyboard-based semantic structuring, a dual-path feature fusion mechanism, and a closed-loop self-correction strategy. Extensive experiments on benchmark datasets demonstrate that our method outperforms state-of-the-art approaches in audio quality, semantic consistency, and temporal alignment, setting a new standard for automatic music generation in long videos. Code is released via <a href="https://github.com/Zyp994/MAC.">https://github.com/Zyp994/MAC.</a></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-agent collaboration for coherent long-video music synthesis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月26日

查看全文
  • Yipin Zhao

摘要

With the rapid advancement of digital media, video content has become a primary medium for information dissemination and entertainment. Background music plays a crucial role in enhancing emotional immersion and guiding narrative rhythm. However, generating high-quality music for long videos remains challenging due to complex scene transitions and diverse emotional tones. This paper introduces a novel hierarchical multi-agent framework that generates semantically consistent, temporally aligned, and stylistically coherent music for long videos. Our approach integrates storyboard-based semantic structuring, a dual-path feature fusion mechanism, and a closed-loop self-correction strategy. Extensive experiments on benchmark datasets demonstrate that our method outperforms state-of-the-art approaches in audio quality, semantic consistency, and temporal alignment, setting a new standard for automatic music generation in long videos. Code is released via https://github.com/Zyp994/MAC.