CHS: Medium: Collaborative Research: Fast Photorealistic Computer Graphics Rendering of Non-Smooth Surfaces

计算机图形学越来越多地被应用到虚拟视觉原型设计中，用于外观重要的材料和产品的设计。使用显示器上的图形渲染来取代物理原型，可能会使将新产品和设计推向市场的速度更快、成本更低。但这样的应用需要在分辨率越来越高的显示器上显示特定真实材料的高保真外观。最根本的问题是，目前的光反射数学模型假定小于一个像素的细节可以忽略，取而代之的是平滑的平均值。在高分辨率下，这一假设被打破；大多数材质在靠近时开始显得嘈杂、颗粒状或闪闪发光。但简单地在模型中包含微观细节并继续使用传统的渲染方法将太慢。该项目将开发一系列方法来模拟亚像素细节的可见效果，而不会大幅增加渲染图像的时间和成本。这项研究的结果将推广计算机图形学中广泛使用的材料模型，以便它们在近距离观察下工作。它将从根本上改变表面反射率的定义，并提供一套新的工具来实现和设计工业应用中的反射率，包括汽车设计、虚拟样机、视觉效果和预测产品可视化。准确地渲染材料的外观一直是计算机图形学的核心问题。随着当今越来越高的显示分辨率，以及要求精确复制特定材质的应用程序，材质建模的现状正达到其极限。问题是，建模表面反射比的标准方法，双向反射分布函数(BRDF)，基本上假设表面粗糙度远远小于像素比例。但是，可以通过平滑BRDF模型为更远或更低分辨率的视图建模的粗糙表面，在靠近时开始显示为噪波、颗粒状或闪闪发光，并且单个散射元素的效果变得可见。这会在各种材料中产生“闪光”或“闪光”，这些材料很难用当前技术建模，包括汽车上使用的金属涂料、电子产品中流行的喷珠和拉丝金属饰面，以及注塑塑料上随处可见的纹理饰面，以及织物、木材饰面和木纹以及许多其他材料。这个项目将开发新的方法来考虑表面反射，根据反射率模型，在其核心建立空间和角度变化，而不假设在小尺度上的光滑性。这些模型考虑了单个散射特征的可视效果，空间和角度细节随着观察和照明条件的显示而自然显现。提出了几种细节材质的数学表示法，包括表面和地下效果，以形成跨越新采集方法和渲染技术的完整端到端管道的核心。

Computer graphics is finding growing application to virtual visual prototyping for the design of materials and products where appearance is important. Using graphics rendering on a display to replace physical prototypes could potentially make it faster and cheaper to bring new products and designs to market. But such applications demand high fidelity in the appearance of specific real materials on displays with ever-higher resolution. The fundamental problem is that current mathematical models for light reflection assume that details smaller than a pixel can be ignored, and replaced by smooth averages. At high resolutions this assumption breaks down; most materials start to appear noisy, grainy, or glittery as one looks closer. But to simply include microscopic detail in the model and continue with conventional rendering methods would be far too slow. This project will develop a range of methods to model the visible effects of sub-pixel details without greatly increasing the time and expense of rendering images. The results of this research will generalize a broad range of material models used in computer graphics so that they work under close-range observation. It will transform the field by fundamentally changing the definition of surface reflectance and by providing a suite of new tools for implementing and designing reflectance in industrial applications including automotive design, virtual prototyping, visual effects, and predictive product visualization.Accurately rendering the appearance of materials has always been a central problem of computer graphics. With today's ever-higher display resolutions, and applications demanding exact reproduction of specific materials, the status quo in material modeling is reaching its limits. The problem is that the standard approach to modeling surface reflectance, the Bi-directional Reflectance Distribution Function (BRDF), fundamentally assumes that surface roughness is far smaller than the scale of pixels. But rough surfaces, which can be modeled by smooth BRDF models for more distant or lower-resolution views, start to appear noisy, grainy, or glittery as one looks closer and the effects of individual scattering elements become visible. This produces "shimmering" or "glints" in a variety of materials that are difficult to model using current technology, including metallic paints used on cars, bead-blasted and brushed metal finishes popular for electronics, and the ubiquitous textured finishes on injection-molded plastic, as well as in fabrics, wood finishes and wood grain, and many other materials. This project will develop new ways to think about surface reflection in terms of reflectance models that build in spatial and angular variation at their core, without assuming smoothness at small scales. These models account for the visible effects of individual scattering features, and spatial and angular detail emerges naturally as the viewing and illumination conditions reveal it. Several mathematical representations for detailed materials are proposed, covering both surface and subsurface effects, to form the core of a full end-to-end pipeline that spans new acquisition methods and rendering techniques.