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TailorRig framework enhances garment-aware character rigging with artist control

Researchers have developed TailorRig, a new framework for generating auxiliary skeletons for character rigging, particularly for complex garments. This system allows for greater artist control by enabling the specification of body skeleton templates and semantic labels to guide the generation of bone chains. TailorRig also introduces a hierarchical skinning weight assignment method to improve deformation stability and reduce weight bleeding, and it is accompanied by a new dataset called Human-Mix. AI

IMPACT Enhances control and stability in character rigging for complex garments, potentially improving workflows in game development and animation.

RANK_REASON The cluster contains an academic paper detailing a new technical framework for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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TailorRig framework enhances garment-aware character rigging with artist control

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The cluster contains an academic paper detailing a new technical framework for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yajing Chen, Xin Chen, Saidan Lu, Yeqi Yuan, Weikai Chen, Changyu Hu, Cheng Zeng, Xin Wang ·

    TailorRig: Controllable and Structured Auxiliary Skeleton Generation for Garment-Aware Rigging

    arXiv:2611.02902v2 Announce Type: replace Abstract: Humanoid rigging for modern characters with complex garments remains challenging due to the need for dense auxiliary skeletons and precise skinning control. Existing automatic methods primarily recover rigs from geometry, provid…