Monte Carlo methods for physically based volume rendering
Monte Carlo methods for physically based volume rendering
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用于基于物理的体积渲染的蒙特卡罗方法
DOI：
10.1145/3214834.3214880
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Wojciech Jarosz
中科院分区：
文献类型：
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作者：
Jan Novák;Iliyan Georgiev;J. Hanika;Jaroslav Křivánek;Wojciech Jarosz
我们调查的方法，利用蒙特卡罗（MC）集成模拟光传输的场景participatingmedia。本课程的目标是补充最近的Eurographics 2018最先进的报告，提供迄今为止开发的大多数技术的广泛概述，包括中子输运的一些方法，重点关注与CG从业者最相关的概念。路径跟踪算法在高端真实感绘制中的广泛应用，激发了许多不同的研究计划，旨在有效地绘制场景与participatingmedia。更强大的计算能力使整体方法能够将体积效果和表面散射联系在一起，并简化创作工作流程。以前被认为是不兼容的方法已经被统一，以允许渲染器从每个方法各自的优势中受益。一般来说，调查已经从专门的解决方案，例如单或multiplescattering近似或分析方法，转向更通用的蒙特卡洛算法，目前正在许多生产环境中获得广泛的成功。本课程的目标是为观众提供一个深入的，最新的自由路径采样，透射率估计，并在参与媒体，包括目前在生产渲染系统中使用的光路建设的关键技术的理解。我们对基本构建块进行了连贯的概述，并对比了基于这些构建块的各种高级方法，为与会者提供了实施现有解决方案和开发新解决方案的指导。允许免费制作本作品的部分或全部的数字或硬拷贝，以供个人或课堂使用，前提是制作或分发副本的目的不是为了盈利或商业利益，并且副本的第一页上有本声明和完整的引用。必须尊重本作品第三方组件的版权。对于所有其他用途，请联系所有者/作者。SIGGRAPH '18课程，八月12-16，2018，温哥华，BC，加拿大© 2018版权所有者/作者持有。ACM ISBN 978-1-4503-5809-5/18/08。https://doi.org/10.1145/3214834.3214877 CCS概念·计算方法→计算机图形学;渲染;光线跟踪;
We survey methods that utilize Monte Carlo (MC) integration to simulate light transport in scenes with participatingmedia. The goal of this course is to complement a recent Eurographics 2018 stateof-the-art report providing a broad overview of most techniques developed to date, including a few methods from neutron transport, with a focus on concepts that are most relevant to CG practitioners. The wide adoption of path-tracing algorithms in high-end realistic rendering has stimulated many diverse research initiatives aimed at efficiently rendering scenes with participatingmedia. More computational power has enabled holistic approaches that tie volumetric effects and surface scattering together and simplify authoring workflows. Methods that were previously assumed to be incompatible have been unified to allow renderers to benefit from each method’s respective strengths. Generally, investigations have shifted away from specialized solutions, e.g. for singleor multiplescattering approximations or analytical methods, towards the more versatile Monte Carlo algorithms that are currently enjoying a widespread success in many production settings. The goal of this course is to provide the audience with a deep, up-to-date understanding of key techniques for free-path sampling, transmittance estimation, and light-path construction in participating media, including those that are presently utilized in production rendering systems. We present a coherent overview of the fundamental building blocks and we contrast the various advanced methods that build on them, providing attendees with guidance for implementing existing solutions and developing new ones. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). SIGGRAPH ’18 Courses, August 12-16, 2018, Vancouver, BC, Canada © 2018 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-5809-5/18/08. https://doi.org/10.1145/3214834.3214877 CCS CONCEPTS • Computing methodologies → Computer graphics; Rendering; Ray tracing;