Adaptive Multi-level Multi-phenomena Appearance Models

自适应多级多现象外观模型

• 批准号: RGPIN-2015-04378
• 负责人: Poulin, Pierre
• 金额: $ 2.62万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=686507
• 关键词: Adaptive; Multi; level; phenomena; Appearance

Rendering realistic synthetic scenes requires an accurate representation of 3D objects and light transport. The result of this simulation is filtered in an image as surface appearance, which varies with distance, orientation, incident illumination, reflection properties, interreflections, subsurface scattering, microgeometry, and textures. Light transport and visibility are often resolved using a combination of Monte Carlo (MC) sampling and ray tracing, well adapted through multiple sampling to most integration problems in rendering. However, they are inefficient in complex scenes because they operate on the finest-scale of the scene representation, and thus, this approach does not scale for real-time rendering of complex scenes nor offline high-quality rendering. Instead, we propose to adapt pre-filtered representations of geometries, visibility, and appearances to the pixel size, i.e., to find an appropriate level-of-detail computation for light-object interactions. Our recent LEADR method computes the color over an entire pixel footprint, interactively and independent of the footprint's size. It is filterable, efficient, suitable for GPUs, scalable with complexity, and high-quality, but it is limited to textured height maps under direct illumination.***This research program will design several novel hierarchical representations of surfaces, volumes, visibility/transparency, textures, and light transport, to cast the phenomena that affect appearance into our prefiltered approach. We propose to generalize the concept of light transport within a black box to all combined factors affecting appearance, thus efficiently determining the appropriate representation under viewing and illumination conditions, leading to real-time rendering of complex scenes, as well as an adapted scheme to be integrated in path-tracing methods.***We will build knowledge from a number of specific case studies, such as grass-to-lawn, tree-to-canopy, sand-to-dune, fabrics-to-drapes, building-to-city, etc. We will develop interpolation schemes between two adjacent levels in a hierarchy. Then we will work our way up by introducing representations at coarser hierarchy levels, and adapting interpolation schemes. Next we will add the other effects affecting appearance, integrating them into a more general model. Our long-term goal is to develop a unified multi-level multi-phenomena appearance scheme suitable for high-quality real-time and offline rendering.**

渲染逼真的合成场景需要准确表示3D对象和光传输。该模拟的结果以图像为表面外观过滤，随着距离，方向，入射照明，反射特性，反射，地下散射，微观测定法和纹理而变化。光传输和可见性通常是通过蒙特卡洛（MC）采样和射线跟踪的组合来解决的，通过多次采样适应了渲染中的大多数集成问题。但是，它们在复杂的场景中无效，因为它们在场景表示的最佳尺度上运行，因此，这种方法不能扩展复杂场景或离线高质量渲染的实时渲染。取而代之的是，我们建议将几何形状，可见性和外观的预滤波表示为像素大小，即找到适当的微观对象相互作用的准级计算。我们最近的LeadR方法在整个像素足迹上计算颜色，互动且独立于足迹的大小。它是可过滤，有效的，适用于GPU，可扩展性具有复杂性和高质量，但仅限于直接照明下的纹理高度图。我们建议将黑匣子内的光传输的概念概述到影响外观的所有组合因素，从而有效地确定在观看和照明条件下的适当表示，从而导致对复杂场景的实时渲染，以及要整合到路径追踪方法中的适应性方案。建筑物到城市等。我们将在层次结构中的两个相邻级别之间开发插值方案。然后，我们将通过在更粗的层次结构级别引入表示形式并调整插值方案来提高自己的行列。接下来，我们将添加影响外观的其他效果，将它们集成到更通用的模型中。我们的长期目标是开发一个统一的多层次多晶状体外观方案，适合于高质量的实时和离线渲染。**