DynFOA synthesizes first-order ambisonics from 360 videos by combining 3D Gaussian Splatting scene reconstruction with conditional diffusion modeling and outperforms prior methods on a new 600-clip real-world dataset.
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DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos
DynFOA synthesizes first-order ambisonics from 360 videos by combining 3D Gaussian Splatting scene reconstruction with conditional diffusion modeling and outperforms prior methods on a new 600-clip real-world dataset.