Paper Overview
Research Area: Computer Vision (CV) arXiv: 2610.08760
Abstract
Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environments remain largely silent. Bringing sound to world models poses three core challenges: real-time generation to keep pace with interactive video streams, interactive control to respond to mid-stream sound instructions, and spatially aligned stereo to reflect scene geometry and camera motion.
To address these demands, the authors introduce WorldSonus, an interactive video-to-audio framework designed for real-time spatial sound synthesis in world models.
Key Contributions
- Real-time generation: WorldSonus employs a streaming causal autoregressive diffusion architecture that synthesizes audio chunks at a low real-time factor (RTF) of 0.41.
- Interactive control: It incorporates an audio-centric captioning pipeline and chunk-indexed prompt scheduling, enabling dynamic manipulation of sound events during generation.
- Spatial alignment: The model leverages high-quality stereo supervision curated from diverse stereo and ambisonic data.
- arXiv page: https://arxiv.org/abs/2610.08760
Results
Extensive experiments demonstrate that, although tailored for world models, WorldSonus generalizes effectively to open-domain video-to-audio benchmarks, matching or surpassing state-of-the-art bidirectional models in both acoustic quality and spatial alignment.