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SonoWorld: From One Image to a 3D Audio-Visual Scene

2026-03-30 17:57:47
Derong Jin, Xiyi Chen, Ming C. Lin, Ruohan Gao
arXiv_CV
       
Abstract

Tremendous progress in visual scene generation now turns a single image into an explorable 3D world, yet immersion remains incomplete without sound. We introduce Image2AVScene, the task of generating a 3D audio-visual scene from a single image, and present SonoWorld, the first framework to tackle this challenge. From one image, our pipeline outpaints a 360° panorama, lifts it into a navigable 3D scene, places language-guided sound anchors, and renders ambisonics for point, areal, and ambient sources, yielding spatial audio aligned with scene geometry and semantics. Quantitative evaluations on a newly curated real-world dataset and a controlled user study confirm the effectiveness of our approach. Beyond free-viewpoint audio-visual rendering, we also demonstrate applications to one-shot acoustic learning and audio-visual spatial source separation. Project website: this https URL

Abstract (translated)

URL

https://arxiv.org/abs/2603.28757

PDF

https://arxiv.org/pdf/2603.28757.pdf

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