Adaptive Environment Sampling on CPU and GPU

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10386658" target="_blank" >RIV/00216208:11320/18:10386658 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3214745.3214808" target="_blank" >https://doi.org/10.1145/3214745.3214808</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3214745.3214808" target="_blank" >10.1145/3214745.3214808</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Environment Sampling on CPU and GPU

Popis výsledku v původním jazyce

We present a production-ready approach for efficient environment light sampling which takes visibility into account. During a brief learning phase we cache visibility information in the camera space. The cache is then used to adapt the environment sampling strategy during the final rendering. Unlike existing approaches that account for visibility, our algorithm uses a small amount of memory, provides a lightweight sampling procedure that benefits even unoccluded scenes and, importantly, requires no additional artist care, such as manual setting of portals or other scene-specific adjustments. The technique is unbiased, simple to implement and integrate into a render engine. Its modest memory requirements and simplicity enable efficient CPU and GPU implementations that significantly improve the render times, especially in complex production scenes.

Název v anglickém jazyce

Adaptive Environment Sampling on CPU and GPU

Popis výsledku anglicky

We present a production-ready approach for efficient environment light sampling which takes visibility into account. During a brief learning phase we cache visibility information in the camera space. The cache is then used to adapt the environment sampling strategy during the final rendering. Unlike existing approaches that account for visibility, our algorithm uses a small amount of memory, provides a lightweight sampling procedure that benefits even unoccluded scenes and, importantly, requires no additional artist care, such as manual setting of portals or other scene-specific adjustments. The technique is unbiased, simple to implement and integrate into a render engine. Its modest memory requirements and simplicity enable efficient CPU and GPU implementations that significantly improve the render times, especially in complex production scenes.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

ACM SIGGRAPH 2018 Talks

ISBN

978-1-4503-5820-0

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

2

Strana od-do

—

Název nakladatele

ASSOC COMPUTING MACHINERY

Místo vydání

NEW YORK

Místo konání akce

Vancouver

Datum konání akce

12. 8. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000455248900068