PulseAugur
实时 12:05:02
English(EN) TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields

TriFlow 利用矢量场生成具有艺术家风格拓扑的3D网格

研究人员推出TriFlow,一种用于创建具有艺术家风格三角形拓扑的紧凑型3D网格的新型生成方法。该方法利用最近顶点矢量场(NVFs)来表示网格拓扑,并通过潜在流匹配模型进行训练。该方法将拓扑生成条件化为输入几何体(如符号距离场),并采用约束二次误差度量网格简化来实现连贯的网格提取。据报道,TriFlow 在泛化性、拓扑质量方面有所提高,Chamfer Distance 降低了90%,并且比现有的基于学习的方法快8倍。 AI

影响 这项研究可能带来更高效、对艺术家更友好的3D内容创作工具。

排序理由 该集群描述了一篇发表在arXiv上的新研究论文,详细介绍了一种新颖的3D网格生成方法。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

TriFlow 利用矢量场生成具有艺术家风格拓扑的3D网格

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Haoxuan Li, Ziya Erko\c{c}, Daniele Sirigatti, Vladislav Rosov, Lei Li, Angela Dai, Matthias Nie{\ss}ner ·

    TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields

    arXiv:2606.20131v1 Announce Type: new Abstract: We present TriFlow, a new generative approach for producing compact 3D meshes with artist-like triangle topology directly from input geometry conditions such as signed distance fields. Our key insight is to represent mesh topology a…

  2. arXiv cs.CV TIER_1 English(EN) · Matthias Nießner ·

    TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields

    We present TriFlow, a new generative approach for producing compact 3D meshes with artist-like triangle topology directly from input geometry conditions such as signed distance fields. Our key insight is to represent mesh topology as a nearest-vertex vector field (NVF) defined ov…