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新的VAD方法从无向点云生成UDF

研究人员开发了一种名为Voronoi-Assisted Optimization for Diffusing (VAD) 的新方法,用于从无向点云生成无符号距离场 (UDF)。这种无需网络的方法使用基于Voronoi的几何标准为点分配双向法线,然后扩散这些法线以创建近似的UDF梯度场。该方法已被证明对各种几何形状具有鲁棒性,包括开放和非流形表面,同时保持计算效率和稳定性。 AI

影响 这项研究引入了一种新颖的、无需网络的方法来生成UDF,有望提高3D形状表示的效率和稳定性。

排序理由 这是一篇详细介绍生成UDF新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新的VAD方法从无向点云生成UDF

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这是一篇详细介绍生成UDF新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiayi Kong, Chen Zong, Junkai Deng, Xuhui Chen, Fei Hou, Shiqing Xin, Junhui Hou, Chen Qian, Ying He ·

    Voronoi辅助从无向点扩散无符号距离场进行优化

    arXiv:2510.12524v2 Announce Type: replace Abstract: Unsigned Distance Fields (UDFs) provide a flexible representation for 3D shapes with arbitrary topology, including open and closed surfaces, orientable and non-orientable geometries, and non-manifold structures. While recent neu…