Pith Number
pith:Y3D33KXK
pith:2025:Y3D33KXKMQJS2JSA3BSX6HB7KO
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ViPE: Video Pose Engine for 3D Geometric Perception
ViPE estimates camera poses and near-metric depth maps from any raw video without calibration.
arxiv:2508.10934 v1 · 2025-08-12 · cs.CV · cs.GR · cs.RO · eess.IV
Record completeness
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4
Citations
5
Replications
Claims
C1strongest claim
ViPE outperforms existing uncalibrated pose estimation baselines by 18%/50% on TUM/KITTI sequences and annotates approximately 96M frames with accurate camera poses and dense depth maps.
C2weakest assumption
That the engine produces reliable near-metric depth and accurate poses on diverse in-the-wild videos without per-video calibration or ground-truth supervision.
C3one line summary
ViPE estimates camera intrinsics, motion, and dense near-metric depth from uncalibrated videos, outperforming baselines on TUM and KITTI while releasing annotations for 96M frames across real and generated videos.
References
[1] Cosmos World Foundation Model Platform for Physical AI
[2] Cosmos-transfer1: Conditional world generation with adaptive multimodal control
[3] L4P: Low-level 4D vision perception unified
[4] ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
[5] Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
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Receipt and verification
| First computed | 2026-05-17T23:38:47.268433Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519 (pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c6c7bdaaea64132d2640d8657f1c3f539091f4f0ee4485b353e223441288fd3d
Aliases
· ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y3D33KXKMQJS2JSA3BSX6HB7KO \
| 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: c6c7bdaaea64132d2640d8657f1c3f539091f4f0ee4485b353e223441288fd3d
Canonical record JSON
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"license": "http://creativecommons.org/publicdomain/zero/1.0/",
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"submitted_at": "2025-08-12T18:39:13Z",
"title_canon_sha256": "5730616afc9835f41e55da11e13ce2885ddedee54ac1fafb57961333354dc3fd"
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