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English(EN) Volume Rendering with Metric--Phase Fields for Thin Structures and Sign-Ambiguous Geometry

PhaseSurf 框架改进了复杂几何体的三维重建

研究人员推出了一种新颖的神经体绘制框架 PhaseSurf,旨在改进三维重建,特别是在薄结构和符号模糊表面等具有挑战性的几何体方面。与依赖符号距离函数 (SDF) 或无符号距离场 (UDF) 的现有方法不同,PhaseSurf 使用度量-相位场 (MPF)。MPF 结合了用于邻近度的非负度量场和用于符号提示的连续相位场,从而能够进行稳定的梯度计算并稳健地处理复杂形状。这种方法允许使用 Marching Cubes 直接提取等值面,并在实验中证明其性能优于当前的三维高斯泼溅和基于 SDF 的技术。 AI

影响 增强了复杂和薄结构的三维重建能力,可能改进计算机图形学和虚拟现实等领域的应用。

排序理由 该集群描述了一篇详细介绍新三维重建方法的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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PhaseSurf 框架改进了复杂几何体的三维重建

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该集群描述了一篇详细介绍新三维重建方法的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Junkai Deng, Jiayi Kong, Xuhui Chen, Guanli Hou, Fei Hou, Junhui Hou, Wenping Wang, Ying He ·

    使用度量-相位场进行薄结构和符号模糊几何的体渲染

    arXiv:2610.13088v1 Announce Type: new Abstract: Neural implicit surface methods that couple volume rendering with signed distance functions (SDFs), such as VolSDF and NeuS, achieve high-quality multi-view reconstruction for watertight objects. However, these approaches rely on a …