What's Making That Sound Right Now? Video-centric Audio-Visual Localization

• URL: http://arxiv.org/abs/2507.04667v2
• Date: Tue, 08 Jul 2025 14:46:46 GMT
• Title: What's Making That Sound Right Now? Video-centric Audio-Visual Localization
• Authors: Hahyeon Choi, Junhoo Lee, Nojun Kwak,
• Abstract summary: AVL aims to identify sound-emitting sources within a visual scene.<n> AVATAR is a video-centric AVL benchmark that incorporates high-resolution temporal information.<n>TAVLO is a video-centric AVL model that explicitly integrates temporal information.
• Score: 26.240518216121487
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Audio-Visual Localization (AVL) aims to identify sound-emitting sources within a visual scene. However, existing studies focus on image-level audio-visual associations, failing to capture temporal dynamics. Moreover, they assume simplified scenarios where sound sources are always visible and involve only a single object. To address these limitations, we propose AVATAR, a video-centric AVL benchmark that incorporates high-resolution temporal information. AVATAR introduces four distinct scenarios -- Single-sound, Mixed-sound, Multi-entity, and Off-screen -- enabling a more comprehensive evaluation of AVL models. Additionally, we present TAVLO, a novel video-centric AVL model that explicitly integrates temporal information. Experimental results show that conventional methods struggle to track temporal variations due to their reliance on global audio features and frame-level mappings. In contrast, TAVLO achieves robust and precise audio-visual alignment by leveraging high-resolution temporal modeling. Our work empirically demonstrates the importance of temporal dynamics in AVL and establishes a new standard for video-centric audio-visual localization.

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