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pith:2026:TQIHEVKTCMXGFPQOUJFI6XN6C2
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MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

Dao Thien Phong, Dongze Lian, Guanli Hou, Hanwang Zhang, Kehong Gong, Mingxi Xu, Mingyuan Zhang, Ning Zhang, Qi Wang, Weixia He, Xiaoyu He, Zhengyu Li, Zhengyu Wen

A reference pose-rotation pair anchors rotation learning so that video-to-pose and pose-to-rotation stages can be trained end-to-end for any skeleton.

arxiv:2604.28130 v3 · 2026-04-30 · cs.CV

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

we present the first fully end-to-end framework in which both Video-to-Pose and Pose-to-Rotation are learnable and jointly optimized... Experiments on Truebones Zoo and Objaverse show that our method reduces rotation error from ~17 degrees to ~10 degrees, and to 6.54 degrees on unseen skeletons, while achieving ~20x faster inference than mesh-based pipelines.

C2weakest assumption

That supplying one reference pose-rotation pair from the target asset, together with the rest pose, is sufficient to uniquely anchor the rotation coordinate system and enable effective learning across arbitrary unseen skeletons without additional constraints or post-processing.

C3one line summary

A fully differentiable end-to-end model for arbitrary-skeleton motion capture from video that jointly learns pose estimation and rotation recovery using reference pose-rotation pairs to eliminate IK ambiguities.

Cited by

2 papers in Pith

Receipt and verification
First computed 2026-06-23T01:12:07.786075Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9c10725553132e62be0ea24a8f5dbe169251f1c6460149e869c65a0766430e36

Aliases

arxiv: 2604.28130 · arxiv_version: 2604.28130v3 · doi: 10.48550/arxiv.2604.28130 · pith_short_12: TQIHEVKTCMXG · pith_short_16: TQIHEVKTCMXGFPQO · pith_short_8: TQIHEVKT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TQIHEVKTCMXGFPQOUJFI6XN6C2 \
  | 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: 9c10725553132e62be0ea24a8f5dbe169251f1c6460149e869c65a0766430e36
Canonical record JSON
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    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-30T17:16:38Z",
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