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English(EN) Structural Affinity: An Algorithm for Coherent Cage-Based Shape Design

新的Structural Affinity算法通过基于笼的变形增强3D形状设计

研究人员开发了一种名为Structural Affinity的新算法,用于3D形状设计中的基于笼的变形(CBD)。该方法利用双笼结构直接耦合笼柄运动,并使用平均值坐标预先计算亲和力矩阵。这种方法旨在通过确保控制柄的连贯运动来减少网格畸变和自相交。Structural Affinity在机器人控制-形态协同设计、神经变形迁移和空气动力学翼型形状优化等应用中已显示出持续的改进。 AI

影响 通过提高网格规则性和减少各种应用中的畸变来增强3D形状设计。

排序理由 该集群包含一篇详细介绍新算法及其应用的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的Structural Affinity算法通过基于笼的变形增强3D形状设计

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该集群包含一篇详细介绍新算法及其应用的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Aviraj Newatia, Shengan Yang, Hantao Zhong, Rika Antonova ·

    结构亲和性:一种用于相干笼状结构设计的算法

    arXiv:2610.23173v1 Announce Type: new Abstract: Cage-based deformation (CBD) parametrises 3D geometry through a small set of control handles, effectively enabling a variety of tasks from animation and interactive modelling to tool-based co-design, neural deformation transfer, and…