Progressive photon mapping

Author:

Hachisuka Toshiya1,Ogaki Shinji2,Jensen Henrik Wann1

Affiliation:

1. UC San Diego

2. The University of Nottingham

Abstract

This paper introduces a simple and robust progressive global illumination algorithm based on photon mapping. Progressive photon mapping is a multi-pass algorithm where the first pass is ray tracing followed by any number of photon tracing passes. Each photon tracing pass results in an increasingly accurate global illumination solution that can be visualized in order to provide progressive feedback. Progressive photon mapping uses a new radiance estimate that converges to the correct radiance value as more photons are used. It is not necessary to store the full photon map, and unlike standard photon mapping it possible to compute a global illumination solution with any desired accuracy using a limited amount of memory. Compared with existing Monte Carlo ray tracing methods progressive photon mapping provides an efficient and robust alternative in the presence of complex light transport such as caustics and in particular reflections of caustics.

Funder

Division of Computing and Communication Foundations

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Cited by 131 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination;IEEE Transactions on Visualization and Computer Graphics;2024-01

2. Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

3. Federative rendering model;Optoelectronic Imaging and Multimedia Technology X;2023-11-27

4. Blind inverse light transport using unrolling network;Applied Intelligence;2023-11-20

5. Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions;ACM Transactions on Graphics;2023-07-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3