Pith Number

pith:MU7DNYWH

pith:2026:MU7DNYWHFCE37AWZPQREZ46LAY

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From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper

Changjie Chen, Jiaqing Lyu, Kenglun Chang, Ling Li, Yiyun Chen, Yuyan Wang, Zhidong Deng

Sparse interleaved multi-view inputs with DenseWarper outperform traditional dense simultaneous multi-view methods for 3D human pose estimation on Human3.6M and MPI-INF-3DHP datasets.

arxiv:2605.14525 v1 · 2026-05-14 · cs.CV

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\pithnumber{MU7DNYWHFCE37AWZPQREZ46LAY}

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3 Author claim open · sign in to claim

4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Results demonstrate that our method, utilizing only sparse interleaved images as input, outperforms traditional dense multi-view input approaches and achieves state-of-the-art performance.

C2weakest assumption

That temporal offsets in the interleaved views can be reliably bridged by epipolar-geometry-based heatmap exchange without introducing motion-induced errors or losing spatial precision.

C3one line summary

Sparse interleaved multi-view inputs with DenseWarper outperform traditional dense simultaneous multi-view methods for 3D human pose estimation on Human3.6M and MPI-INF-3DHP datasets.

References

211 extracted · 211 resolved · 0 Pith anchors

[1] Scaling Learning Algorithms Towards

[2] and Osindero, Simon and Teh, Yee Whye , journal =

[3] Deep learning , author=. 2016 , publisher= 2016

[4] Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

[5] Baumgartner, Tobias and Klatt, Stefanie , booktitle=

Receipt and verification

First computed	2026-05-17T23:39:06.019287Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

653e36e2c72889bf82d97c224cf3cb063fe8bfe447aa0b8d541ba449b832d4f2

Aliases

arxiv: 2605.14525 · arxiv_version: 2605.14525v1 · doi: 10.48550/arxiv.2605.14525 · pith_short_12: MU7DNYWHFCE3 · pith_short_16: MU7DNYWHFCE37AWZ · pith_short_8: MU7DNYWH

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/MU7DNYWHFCE37AWZPQREZ46LAY \
  | 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: 653e36e2c72889bf82d97c224cf3cb063fe8bfe447aa0b8d541ba449b832d4f2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "181fb88ca03ace2f19b71cb97d8107090aba5725fce7f71f306ba85b03c0390e",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T08:08:29Z",
    "title_canon_sha256": "e1494838098d05fdbd5bdf362caa9883f3986832264c857e586d71b69aaa14e2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14525",
    "kind": "arxiv",
    "version": 1
  }
}