Scene2Sound generates consistent audio for 3D Gaussian Worlds

Researchers have introduced Scene2Sound, a novel framework for generating consistent soundscapes for 3D Gaussian Worlds. This system addresses the limitation of existing audio generation methods by creating spatially coherent audio that remains stable as a listener moves through the simulated environment. Scene2Sound utilizes a vision-language model to identify sound-emitting objects within the 3D world and employs Gaussian set matching to associate these detections with persistent 3D positions, enabling real-time audio spatialization. AI

IMPACT Enables more immersive and interactive 3D environments by adding spatially consistent audio.

RANK_REASON The cluster contains a research paper detailing a new method for audio generation in 3D environments. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• 3D Gaussian Splatting
• 3D Gaussian Worlds
• arXiv
• Gaussian set matching
• object-based audio engine
• Scene2Sound
• vision-language model

• paper
• other

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