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FlowRig framework unifies 3D and 4D mesh skeleton generation using flow matching

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced FlowRig, a novel framework designed for unified skeleton generation in both 3D and 4D mesh animation. This template-free approach utilizes flow matching to produce temporally aligned skeletons in a single feedforward pass, offering control over bone count and handling dynamic meshes. FlowRig addresses the scarcity of 4D rigging data by employing a curriculum learning strategy that leverages extensive 3D rigging data before adapting to 4D mesh-skeleton data. Experiments demonstrate its effectiveness in generating high-quality, temporally consistent 4D reconstructions and predictions, alongside strong 3D rigging performance with adjustable bone complexity. AI

IMPACT This framework could streamline animation workflows by providing a unified approach to rigging for both static and dynamic meshes.

RANK_REASON The cluster contains a new academic paper detailing a novel framework for mesh animation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

FlowRig framework unifies 3D and 4D mesh skeleton generation using flow matching

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26 / 100
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The cluster contains a new academic paper detailing a novel framework for mesh animation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Fengzhi Guo, Nate Morrill, Shiqi Li, Cheng Zhang ·

    FlowRig: Unified Skeleton Generation for 3D and 4D Meshes via Flow Matching

    arXiv:2611.03775v2 Announce Type: replace Abstract: Automatic rigging is a fundamental task for both static 3D and dynamic 4D mesh animation, yet existing methods do not provide a unified feedforward solution for these two settings. While static 3D riggers achieve strong quality,…

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