Pith Number

pith:NQ3LEHST

pith:2026:NQ3LEHSTMQHE4VJJEUTRTKREVU

not attested not anchored not stored refs resolved

WildPose: A Unified Framework for Robust Pose Estimation in the Wild

Iro Armeni, Jianhao Zheng, Liyuan Zhu, Zihan Zhu

WildPose unifies monocular pose estimation to stay accurate in dynamic scenes without losing ground on static or low-motion ones.

arxiv:2605.12774 v1 · 2026-05-12 · cs.CV

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

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Claims

C1strongest claim

WildPose consistently outperforms prior methods across dynamic (Wild-SLAM, Bonn), static (TUM, 7-Scenes), and low-ego-motion (Sintel) benchmarks.

C2weakest assumption

That a frozen pre-trained MASt3R backbone supplies sufficiently rich and general 3D-aware features for both the update operator and motion mask detector to deliver unified robustness without scene-specific retraining or failure modes in unseen dynamics.

C3one line summary

WildPose unifies feedforward 3D features from MASt3R with differentiable bundle adjustment for robust monocular pose estimation across dynamic, static, and low-ego-motion scenes.

References

72 extracted · 72 resolved · 6 Pith anchors

[1] Fácil, Javier Civera, and José Neira 2018

[2] A naturalistic open source movie for optical flow evaluation 2012

[3] Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam.IEEE transactions on robotics, 37(6):1874–1890,

[4] Video depth anything: Consistent depth estimation for super-long videos 2025

[5] Back on track: Bundle adjustment for dynamic scene reconstruc- tion 2025

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:09:20.058740Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6c36b21e53640e4e5529252719aa24ad385c5826024933ea6af2038544656485

Aliases

arxiv: 2605.12774 · arxiv_version: 2605.12774v1 · doi: 10.48550/arxiv.2605.12774 · pith_short_12: NQ3LEHSTMQHE · pith_short_16: NQ3LEHSTMQHE4VJJ · pith_short_8: NQ3LEHST

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQ3LEHSTMQHE4VJJEUTRTKREVU \
  | 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: 6c36b21e53640e4e5529252719aa24ad385c5826024933ea6af2038544656485

Canonical record JSON

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    "abstract_canon_sha256": "54694107e6b47bd6d198735f2a90e8a04f17a2274b3b82e63f241d6518540b04",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-12T21:39:44Z",
    "title_canon_sha256": "149945b0fa3bfd0a2bb7b2f0a9521d081cc018fbcd800f6af016594d4a33acc1"
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  "source": {
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    "kind": "arxiv",
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