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pith:NFHYJS42

pith:2026:NFHYJS42ST2NTUCPUZOEWLJOEA
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MMTalker: Multiresolution 3D Talking Head Synthesis with Multimodal Feature Fusion

Bin Liu, Bo Li, Zhifen He, Zhixiang Xiong

MMTalker synthesizes detailed 3D talking heads from speech by combining UV mesh parameterization with dual cross-attention fusion of audio and geometric features.

arxiv:2604.02941 v2 · 2026-04-03 · cs.CV

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\pithnumber{NFHYJS42ST2NTUCPUZOEWLJOEA}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
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

MMTalker can accurately reconstruct the rich details of 3D facial motion and achieves significant improvements over state-of-the-art methods, especially in the synchronization accuracy of lip and eye movements.

C2weakest assumption

That the combination of non-uniform differentiable sampling on UV-parameterized meshes and dual cross-attention fusion will resolve the ill-posed speech-to-3D-motion mapping without introducing artifacts or requiring extensive post-processing.

C3one line summary

MMTalker combines multi-resolution mesh sampling with residual graph convolutions and dual cross-attention to synthesize accurate 3D talking head motions from audio.

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-06-02T01:04:16.215262Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

694f84cb9a94f4d9d04fa65c4b2d2e200e69030fa3eddad2fa4dd17e7654451b

Aliases

arxiv: 2604.02941 · arxiv_version: 2604.02941v2 · doi: 10.48550/arxiv.2604.02941 · pith_short_12: NFHYJS42ST2N · pith_short_16: NFHYJS42ST2NTUCP · pith_short_8: NFHYJS42
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NFHYJS42ST2NTUCPUZOEWLJOEA \
  | 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: 694f84cb9a94f4d9d04fa65c4b2d2e200e69030fa3eddad2fa4dd17e7654451b
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-03T10:17:39Z",
    "title_canon_sha256": "ae428a3e486aa52d15511d0ca7e4b51e935db6a5bf027e5ec89dc779a6f94065"
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