pith:OGAZ7PRU
3D-LENS: A 3D Lifting-based Elevated Novel-view Synthesis method for Single-View Aerial-Ground Re-Identification
3D mesh reconstruction from single views enables re-identification across unseen aerial and ground perspectives.
arxiv:2604.26520 v2 · 2026-04-29 · cs.CV
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Claims
Extensive experiments demonstrate that our method achieves state-of-the-art performance on SV AG-ReID scenarios.
Large-scale 3D mesh reconstruction from single real viewpoints can produce geometrically consistent novel views across diverse categories without predefined templates, and synthetic-to-real bias can be sufficiently mitigated for effective generalization.
3D-LENS formalizes single-view aerial-ground re-identification and uses 3D lifting for novel view synthesis plus bias-mitigating representation learning to achieve SOTA cross-view matching.
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| First computed | 2026-06-30T02:17:21.727165Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OGAZ7PRUTDUJSHABP65NDYWADJ \
| 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())"
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Canonical record JSON
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