OmniAudio: Generating Spatial Audio from 360-Degree Video

• URL: http://arxiv.org/abs/2504.14906v1
• Date: Mon, 21 Apr 2025 07:21:28 GMT
• Title: OmniAudio: Generating Spatial Audio from 360-Degree Video
• Authors: Huadai Liu, Tianyi Luo, Qikai Jiang, Kaicheng Luo, Peiwen Sun, Jialei Wan, Rongjie Huang, Qian Chen, Wen Wang, Xiangtai Li, Shiliang Zhang, Zhijie Yan, Zhou Zhao, Wei Xue,
• Abstract summary: We introduce a novel task, 360V2SA, to generate spatial audio from 360-degree videos.<n>We propose a novel framework OmniAudio, which leverages self-supervised pre-training using both spatial audio data and large-scale non-spatial data.<n>Experiments demonstrate that OmniAudio achieves state-of-the-art performance across both objective and subjective metrics.
• Score: 90.83754780084242
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Traditional video-to-audio generation techniques primarily focus on field-of-view (FoV) video and non-spatial audio, often missing the spatial cues necessary for accurately representing sound sources in 3D environments. To address this limitation, we introduce a novel task, 360V2SA, to generate spatial audio from 360-degree videos, specifically producing First-order Ambisonics (FOA) audio - a standard format for representing 3D spatial audio that captures sound directionality and enables realistic 3D audio reproduction. We first create Sphere360, a novel dataset tailored for this task that is curated from real-world data. We also design an efficient semi-automated pipeline for collecting and cleaning paired video-audio data. To generate spatial audio from 360-degree video, we propose a novel framework OmniAudio, which leverages self-supervised pre-training using both spatial audio data (in FOA format) and large-scale non-spatial data. Furthermore, OmniAudio features a dual-branch framework that utilizes both panoramic and FoV video inputs to capture comprehensive local and global information from 360-degree videos. Experimental results demonstrate that OmniAudio achieves state-of-the-art performance across both objective and subjective metrics on Sphere360. Code and datasets will be released at https://github.com/liuhuadai/OmniAudio. The demo page is available at https://OmniAudio-360V2SA.github.io.

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