English(EN) SeamFlow: Structure-Aware Flow Matching on Edge Probabilities for Artist-Like UV Unwrapping

SeamFlow框架通过连续流匹配增强3D表面切割

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员推出了一种名为SeamFlow的新生成框架，旨在改进3D表面切割和UV展开过程。该方法将离散网格切割问题重新构建为边缘概率空间内的连续流匹配过程。SeamFlow利用演化网络整合局部拓扑信息和全局形状先验，通过常微分方程求解引导概率流。与现有的自回归生成方法相比，该框架旨在提高语义连贯性并减少参数化失真。 AI

影响这项研究可能为3D图形带来更高效、语义更连贯的UV展开，可能影响游戏开发和数字艺术的工作流程。

排序理由该集群包含一篇详细介绍3D表面切割新方法的 ist 研究论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Yuming Zhao, Zangyueyang Xian, Qijian Zhang, Rendong Liang, Qin Jia, Ying He, Junhui Hou · 2026-09-07 04:00

SeamFlow: 艺术家式UV展开的基于边缘概率的结构感知流匹配

arXiv:2609.04751v1 Announce Type: new Abstract: 3D surface cutting and UV unwrapping are fundamental problems in computer graphics. Traditional geometric optimization methods mainly focus on reducing parameterization distortion, but they often overlook visual semantic coherence i…

本文如何被排名

报道来源 [1]

SeamFlow: 艺术家式UV展开的基于边缘概率的结构感知流匹配

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