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English(EN) StereoFoley: Object-Aware Stereo Audio Generation from Video

Apple研究人员开发StereoFoley,用于从视频生成物体感知的立体声音频

Apple研究人员开发了StereoFoley,一个用于从视频生成语义对齐、时间同步和空间精确的立体声音频的新框架。该系统通过创建物体感知的立体声成像来解决现有模型的局限性,并通过合成数据生成管道克服了缺乏合适数据集的挑战。该管道结合了视频分析、物体跟踪和音频合成,并具有动态平移和距离控制,以生成逼真的声景,为视频到音频生成树立了新的标杆。 AI

影响 为从视频内容生成空间精确的立体声音频树立了新的标杆。

排序理由 这是一篇详细介绍从视频生成音频新框架的研究论文。

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Apple研究人员开发StereoFoley,用于从视频生成物体感知的立体声音频

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这是一篇详细介绍从视频生成音频新框架的研究论文。
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报道来源 [1]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    StereoFoley:从视频生成面向对象的立体声音频

    We present StereoFoley, a video-to-audio generation framework that produces semantically aligned, temporally synchronized, and spatially accurate stereo sound at 48 kHz. While recent generative video-to-audio models achieve strong semantic and temporal fidelity, they largely rema…