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pith:PCX6UQLI

pith:2026:PCX6UQLIDNFQXMQ5YHV7CPYQKV
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SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements

Ege Erdem, Orchisama Das, Shoichi Koyama, Tomohiko Nakamura, Zoran Cvetkovi\'c

Flow matching reconstructs 3D sound field magnitudes from sparse microphone measurements up to 1 kHz.

arxiv:2605.10398 v2 · 2026-05-11 · eess.AS

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4 Citations open
5 Replications open
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Claims

C1strongest claim

We propose a novel framework for 3D ATF magnitude reconstruction as a guided generation task, with a 3D U-Net conditioned by a permutation-invariant set encoder. ... Experimental results demonstrate that SF-Flow achieves accurate reconstruction up to 1 kHz, trains substantially faster than the autoencoder baseline, and improves significantly with dataset size.

C2weakest assumption

That the flow matching process guided by the permutation-invariant set encoder on a 3D U-Net can reliably recover the underlying acoustic properties from sparse measurements without introducing artifacts or failing at higher frequencies or complex geometries.

C3one line summary

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.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-08-17T01:13:05.202109Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

78afea41681b4b0bb21dc1ebf13f10556989b2dbea950030d9fc6d0e8b6e3698

Aliases

arxiv: 2605.10398 · arxiv_version: 2605.10398v2 · doi: 10.48550/arxiv.2605.10398 · pith_short_12: PCX6UQLIDNFQ · pith_short_16: PCX6UQLIDNFQXMQ5 · pith_short_8: PCX6UQLI
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PCX6UQLIDNFQXMQ5YHV7CPYQKV \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 78afea41681b4b0bb21dc1ebf13f10556989b2dbea950030d9fc6d0e8b6e3698
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.AS",
    "submitted_at": "2026-05-11T11:40:57Z",
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