pith:LRH4IMVR
3D Reconstruction with Spatial Memory
Spann3R maintains an external spatial memory to regress per-image pointmaps directly in a global coordinate system from ordered or unordered image collections.
arxiv:2408.16061 v1 · 2024-08-28 · cs.CV
Record completeness
Claims
Spann3R can predict per-image pointmaps expressed in a global coordinate system, thus eliminating the need for optimization-based global alignment.
That an external spatial memory can reliably retain and retrieve all relevant prior 3D information across arbitrary ordered or unordered image collections without drift or loss of consistency.
Spann3R uses a learned spatial memory to regress per-image pointmaps directly in a shared global coordinate system, removing the need for optimization-based alignment after per-pair predictions.
References
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Receipt and verification
| First computed | 2026-05-17T23:38:14.710171Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519 (pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c4fc432b155ce7ed95f8f928e2600060c3c5ae7125af5c2bf693c918c2944c9
Aliases
· ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LRH4IMVRKXHH5WK7R6JI4JQAAY \
| 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: 5c4fc432b155ce7ed95f8f928e2600060c3c5ae7125af5c2bf693c918c2944c9
Canonical record JSON
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