Efficient Caustic Rendering with Lightweight Photon Mapping

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10386655" target="_blank" >RIV/00216208:11320/18:10386655 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1111/cgf.13481" target="_blank" >https://doi.org/10.1111/cgf.13481</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/cgf.13481" target="_blank" >10.1111/cgf.13481</a>

Result language

angličtina

Original language name

Efficient Caustic Rendering with Lightweight Photon Mapping

Original language description

Robust and efficient rendering of complex lighting effects, such as caustics, remains a challenging task. While algorithms like vertex connection and merging can render such effects robustly, their significant overhead over a simple path tracer is not always justified and - as we show in this paper - also not necessary. In current rendering solutions, caustics often require the user to enable a specialized algorithm, usually a photon mapper, and hand-tune its parameters. But even with carefully chosen parameters, photon mapping may still trace many photons that the path tracer could sample well enough, or, even worse, that are not visible at all. Our goal is robust, yet lightweight, caustics rendering. To that end, we propose a technique to identify and focus computation on the photon paths that offer significant variance reduction over samples from a path tracer. We apply this technique in a rendering solution combining path tracing and photon mapping. The photon emission is automatically guided towards regions where the photons are useful, i.e., provide substantial variance reduction for the currently rendered image. Our method achieves better photon densities with fewer light paths (and thus photons) than emission guiding approaches based on visual importance. In addition, we automatically determine an appropriate number of photons for a given scene, and the algorithm gracefully degenerates to pure path tracing for scenes that do not benefit from photon mapping.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA16-18964S" target="_blank" >GA16-18964S: Adaptive sampling and Markov chain Monte Carlo methods in light transport simulation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computer Graphics Forum

ISSN

0167-7055

e-ISSN

—

Volume of the periodical

37

Issue of the periodical within the volume

4

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

133-142

UT code for WoS article

000439926200012

EID of the result in the Scopus database

2-s2.0-85050604878