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English(EN) GLUT: 3D Gaussian Lookup Table for Continuous Color Transformation

高斯查找表方法提供连续、可编辑的颜色转换

研究人员推出了一种新颖的 3D 高斯查找表(GLUT)颜色转换方法,它提供了一种连续且显式的表示。与传统的基于网格的查找表不同,GLUT 使用可学习的 3D 高斯基元来实现灵活的容量和紧凑的内存占用。这种方法提高了可解释性,并允许在不完全重新训练的情况下进行局部编辑,在准确性和效率方面优于以前的神经查找表表示。 AI

影响 引入了一种新的显式且可解释的颜色转换表示,有可能改进图像编辑和风格迁移应用。

排序理由 该集群包含一篇详细介绍颜色转换新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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 →

高斯查找表方法提供连续、可编辑的颜色转换

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该集群包含一篇详细介绍颜色转换新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Javier Vazquez-Corral ·

    GLUT:用于连续颜色转换的3D高斯查找表

    3D Lookup Tables (3D LUTs) are widely used for color mapping, but their grid-based representation requires discretizing the RGB space, leading to a capacity-memory trade-off that becomes prohibitive when storing large numbers of LUTs. Recent approaches adopt implicit neural repre…