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pith:SUUZZ533

pith:2026:SUUZZ533FBXSSFHLJZGXK2NXDB
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Universal Skeleton Understanding via Differentiable Rendering and MLLMs

Kai-Kuang Ma, Mengyuan Liu, Peiming Li, Xinshun Wang, Yang Tang, Ziyi Wang

Differentiable rendering converts arbitrary skeleton sequences into images that MLLMs can process directly.

arxiv:2603.18003 v4 · 2026-03-18 · cs.CV

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Claims

C1strongest claim

SkeletonLLM achieves universal skeleton understanding by translating arbitrary skeleton sequences into the MLLM's native visual modality via DrAction, with cooperative training enabling strong generalization in open-vocabulary action recognition and extension to motion captioning and QA across heterogeneous formats.

C2weakest assumption

That converting skeleton kinematics into compact image sequences via differentiable rendering preserves all task-relevant information without significant loss and that MLLM gradients can meaningfully guide the renderer to produce informative visual tokens.

C3one line summary

SkeletonLLM translates arbitrary skeleton sequences into visual image sequences via a differentiable renderer DrAction, allowing MLLMs to perform open-vocabulary action recognition, captioning, and QA across heterogeneous skeleton formats.

Formal links

2 machine-checked theorem links

Cited by

2 papers in Pith

Receipt and verification
First computed 2026-05-20T01:05:11.461264Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

95299cf77b286f2914eb4e4d7569b71843ff85f1a54a34495bfb0d9bd31f3677

Aliases

arxiv: 2603.18003 · arxiv_version: 2603.18003v4 · doi: 10.48550/arxiv.2603.18003 · pith_short_12: SUUZZ533FBXS · pith_short_16: SUUZZ533FBXSSFHL · pith_short_8: SUUZZ533
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SUUZZ533FBXSSFHLJZGXK2NXDB \
  | 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: 95299cf77b286f2914eb4e4d7569b71843ff85f1a54a34495bfb0d9bd31f3677
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-18T17:59:12Z",
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