新方法实现三维形状的基于梯度的优化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-25 04:00

研究人员开发了一种表面表示的可微分体素化方法，能够实现相对于表面参数的体积属性的基于梯度的优化。该技术可以高效计算三角形网格和顶点集的导数，便于解决网格自相交或确保可制造性等应用。该方法已在解决自相交、创建可用带锯切割制造的形状以及生成空间填充几何体方面得到验证。 AI

排序理由该集群包含一篇详细介绍新技术的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]

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arXiv cs.CV TIER_1 English(EN) · Tobias Djuren, Ugo Finnendahl, Markus Worchel, Hendrik Meyer, Marc Alexa · 2026-08-25 04:00

表面表示的可微分体素化

arXiv:2608.15934v1 Announce Type: cross Abstract: Different shape representations facilitate different computations. Surface representations, in particular meshes, are often used for modeling, whereas volume representations are useful for spatial queries such as intersection or c…