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English(EN) RoboCloth: A Large-Scale Real Cloth Material Dataset for Neural Reflectance Reconstruction

RoboCloth 数据集推动神经布料材质重建研究

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了 RoboCloth，这是一个全面的数据集，包含 500 种使用机器人控制相机和照明捕获的真实布料材质。该数据集支持神经反射率重建，从而可以训练材质先验。一个两阶段的流程表明，在 RoboCloth 上训练的神经网络在 RoboCloth 和 UBO2014 基准测试上均优于现有方法，显示出强大的泛化能力。 AI

影响 该数据集有望加速计算机图形学和机器人学中逼真材质渲染的研究。

排序理由 该集群描述了一个用于神经反射率重建的新数据集和相关研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

RoboCloth 数据集推动神经布料材质重建研究

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该集群描述了一个用于神经反射率重建的新数据集和相关研究论文。[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) · Zhen Li (Simon Fraser University), Haoran Qin (Westlake University), Francesco Di Sario (University of Torino,Simon Fraser University), Daniel Rebain (University of British Columbia,Wayve), Andrea Tagliasacchi (Simon Fraser University, Wayve,University o… ·

    RoboCloth：用于神经反射率重建的大规模真实布料材质数据集

    arXiv:2610.21090v1 Announce Type: new Abstract: We present RoboCloth, a dataset of 500 real cloth materials captured under flexible, calibrated camera and lighting configurations, where both are robotically controlled during acquisition. Each material is imaged in approximately 5…

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