SF-Flow applies flow matching with a permutation-invariant set encoder and 3D U-Net to reconstruct ATF magnitudes from sparse inputs, showing accurate results up to 1 kHz with faster training than autoencoder baselines.
Experimental Setup We simulated RIRs using thepyroomacousticslibrary [36] for a room of dimensions4 m×6 m×3 m, with a reverberation time (T60) of0.2 s
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SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements
SF-Flow applies flow matching with a permutation-invariant set encoder and 3D U-Net to reconstruct ATF magnitudes from sparse inputs, showing accurate results up to 1 kHz with faster training than autoencoder baselines.