English(EN) OptimusMesh: Compact Autoregressive Mesh Generation from Point Clouds via Sparse Latent Pivots

OptimusMesh 从点云生成紧凑的 3D 网格

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了 OptimusMesh，一个直接从点云生成紧凑 3D 三角网格的新框架。该方法通过将输入点压缩成稀疏潜在枢轴，显著减少了几何条件设置，与现有的自回归方法相比，条件序列大大缩短。实验表明，OptimusMesh 在保持具有竞争力的几何保真度的同时，生成的网格面数更少。 AI

影响这种新的 3D 网格生成方法可以提高需要 3D 模型创建的领域的效率并降低计算成本。

排序理由该集群包含一篇详细介绍 3D 网格生成新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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

本文如何被排名

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍 3D 网格生成新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CV TIER_1 English(EN) · Mazhar Iqbal, Naoya Chiba, Xuanmeng Sha, Tomohiro Mashita, Yuki Uranishi · 2026-10-02 04:00

OptimusMesh：通过稀疏潜在枢轴从点云进行紧凑的自回归网格生成

arXiv:2610.01148v1 Announce Type: new Abstract: Generating compact and geometrically faithful 3D meshes directly from point clouds remains a fundamental challenge. Point clouds are unordered and sparse, whereas meshes exhibit irregular structure and varying topology. As a result,…