pith:K73YQH2L
Semantic Foam: Unifying Spatial and Semantic Scene Decomposition
Semantic Foam attaches semantic features to Voronoi cells for consistent object segmentation in reconstructed scenes.
arxiv:2604.26262 v3 · 2026-04-29 · cs.CV
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Claims
Our approach integrates the natural spatial volumetric decomposition of Radiant Foam's Voronoi mesh with an explicit semantic feature field parameterized at the cell level. This explicit structure enables direct spatial regularization, which prevents artifacts caused by occlusion or inconsistent supervision across views - common pitfalls for other point-based representations.
That attaching semantic features to the Voronoi cells of Radiant Foam will preserve rendering quality while delivering consistent segmentation without new artifacts or loss of detail from the underlying spatial decomposition.
Semantic Foam unifies spatial Voronoi decomposition with cell-level semantic features to achieve superior object segmentation by enabling direct spatial regularization that avoids occlusion and view-inconsistency artifacts.
Receipt and verification
| First computed | 2026-06-01T01:02:40.750959Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57f7881f4bd60f4664b2b99ceb3cf08451a8f0deb167451c905fee63e28fd617
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K73YQH2L2YHUMZFSXGOOWPHQQR \
| 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: 57f7881f4bd60f4664b2b99ceb3cf08451a8f0deb167451c905fee63e28fd617
Canonical record JSON
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