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English(EN) Accelerating HKTex without Mesh Eigensystems: Local Unfolding and Randomized Thermal Features

新方法加速热核纹理计算

研究人员开发了两种新方法来加速热核纹理(HKTex)的计算,这是一种用于表示表面外观的技术。第一种方法LocalHK用局部展开和解析对数映射核取代了谱评估,显著减少了初始化时间并实现了更大的网格处理。第二种方法ThermalRF使用随机范围查找和切比雪夫作用来构建全局低秩热因子,而无需网格大小的特征向量,从而减少了端到端预处理和优化时间,同时保持了高保真度。 AI

影响 这些方法可以提高图形渲染和3D资产处理的效率。

排序理由 该集群包含一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新方法加速热核纹理计算

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该集群包含一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhewen He, Junyi Hu, Yi Fang ·

    加速HKTex而不使用网格特征值:局部展开和随机热特征

    arXiv:2609.14105v1 Announce Type: new Abstract: Heat Kernel Textures (HKTex) represent surface appearance with intrinsic anisotropic kernels, but evaluate them using 50 global Laplace-Beltrami eigendecompositions and a resident basis of shape [50,V,256]. We study two complementar…