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arXiv · 2603.28757

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

Derong Jin·Xiyi Chen·Ming C. Lin·Ruohan Gao
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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{\deg} 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: https://humathe.github.io/sonoworld/

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Derong Jin, Xiyi Chen, Ming C. Lin, Ruohan Gao. 2026-03-30. SonoWorld: From One Image to a 3D Audio-Visual Scene. https://arxiv.org/abs/2603.28757

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