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AppIm: Linear Spaces for Image-based Appearance Editing

机译:AppIm:用于基于图像的外观编辑的线性空间

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Editing spatially-varying appearance is commonplace in mostrngraphics applications. In this paper, we focus on materials whosernappearance is described by BRDFs or BSSRDFs, with parametersrnspecified by textures, and with local frame perturbations, namelyrnbump, normal and tangent maps. Editing these materials amountsrnto editing the textures that encode the spatial variation. To performrnthese edits, artists commonly adopt imaging softwares sincernthey have rich toolsets and well-understood user interfaces. Butrnediting material parameters as images does not produce consistentrnresults since the parameters’ behaviours in their relative spaces arernnot taken in account. Our goal is to address this issue with a solutionrnthat is practical, in that we do not want to change materialrnrepresentation or editing workflow to ensure adoption. We observernthat most image editing operations can be written as linear combinationrnof colors. We thus define editing spaces for material parametersrnsuch that linear operations in these spaces respect theirrninherent meaning of the parameters. Transformations to and fromrnediting spaces are non-linear to capture the non-linear behaviour of the parameters. Since GPUs are particularly efficient when executingrnlinear operations, they can be used well with editing spaces.Werndemonstrate the use of editing spaces to edit microfacet BRDFs andrnSubEdit BSSRDFs by performing various imaging operations suchrnas layering, linear and non-linear filtering, local and global contrastrnenhancements, and hardware-accelerated painting.
机译:在大多数图形应用程序中,编辑空间变化外观是司空见惯的。在本文中,我们专注于用BRDF或BSSRDF描述其外观的材料,其参数由纹理指定,并具有局部框架摄动,即凹凸,法线和切线贴图。编辑这些材料的数量可以编辑编码空间变化的纹理。为了执行这些编辑,美术人员通常采用成像软件,因为它们具有丰富的工具集和易于理解的用户界面。将材料参数编辑为图像不会产生一致的结果,因为未考虑参数在其相对空间中的行为。我们的目标是通过实用的解决方案来解决此问题,因为我们不想更改材料表示或编辑工作流程以确保采用。我们观察到,大多数图像编辑操作可以写为线性组合颜色。因此,我们为材料参数定义了编辑空间,以使这些空间中的线性运算符合其固有的参数含义。往返于编辑空间的转换是非线性的,以捕获参数的非线性行为。由于GPU在执行线性操作时特别高效,因此可以很好地与编辑空间配合使用。通过执行各种成像操作(例如分层,线性和非线性滤波,局部和全局对比度增强,和硬件加速的绘画。

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