pith:EI3SJA4Q
VOIC: Visible-Occluded Integrated Guidance for 3D Semantic Scene Completion
A dual-decoder network separates visible and occluded region supervision to improve monocular 3D semantic scene completion.
arxiv:2512.18954 v6 · 2025-12-22 · cs.CV
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Record completeness
Claims
VOIC outperforms existing monocular SSC methods in both geometric completion and semantic segmentation accuracy, achieving state-of-the-art performance on the SemanticKITTI and SSCBench-KITTI360 benchmarks.
The assumption that offline extraction of visible-region voxel labels from dense 3D ground truth cleanly separates supervision without introducing selection bias or losing critical information needed for coherent global reasoning.
VOIC decouples monocular 3D scene completion into visible semantic perception and occluded reasoning via VRLE and a dual-decoder architecture, achieving state-of-the-art results on SemanticKITTI and SSCBench-KITTI360.
Formal links
Receipt and verification
| First computed | 2026-06-03T01:05:47.017104Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2237248390aac232c26a2b8fa2b124bb5d171729ba86180544fb9d6a5ee20cb4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EI3SJA4QVLBDFQTKFOH2FMJEXN \
| 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: 2237248390aac232c26a2b8fa2b124bb5d171729ba86180544fb9d6a5ee20cb4
Canonical record JSON
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