Adaptive Environment Sampling on CPU and GPU
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Adaptive Environment Sampling on CPU and GPU
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACM SIGGRAPH 2018 Talks
ISBN
978-1-4503-5820-0
ISSN
—
e-ISSN
neuvedeno
Number of pages
2
Pages from-to
—
Publisher name
ASSOC COMPUTING MACHINERY
Place of publication
NEW YORK
Event location
Vancouver
Event date
Aug 12, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455248900068