English(EN) TetraSDF: Analytic Isosurface Extraction with Multi-resolution Tetrahedral Grid

TetraSDF框架能够从神经SDF中精确提取表面

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-02 04:00

研究人员推出了一种新颖的框架TetraSDF，用于从神经符号距离函数（SDF）中提取显式表面。与引入离散化误差或仅限于更简单的ReLU MLP的传统方法不同，TetraSDF采用了多分辨率四面体位置编码器。这种方法能够学习高频SDF，同时能够将零水平集精确提取为三角形网格。在各种基准测试中，TetraSDF在SDF重建精度方面已显示出与现有基于网格的编码器相当或更优的性能。 AI

影响该框架有望提高神经表示中3D表面重建的保真度和准确性。

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arXiv cs.CV TIER_1 English(EN) · Seonghun Oh, Youngjung Uh, Jin-Hwa Kim · 2026-07-02 04:00

TetraSDF：多分辨率四面体网格的解析等值面提取

arXiv:2511.16273v2 Announce Type: replace Abstract: Extracting an explicit surface that exactly matches the zero-level set of a neural signed distance function (SDF) remains challenging. Sampling-based isosurfacing methods such as Marching Cubes introduce discretization error. In…

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TetraSDF：多分辨率四面体网格的解析等值面提取

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