SkyGAN: Realistic Cloud Imagery for Image-based Lighting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10474505" target="_blank" >RIV/00216208:11320/23:10474505 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=i~Jo4Y7yRk" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=i~Jo4Y7yRk</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/cgf.14990" target="_blank" >10.1111/cgf.14990</a>
Alternative languages
Result language
angličtina
Original language name
SkyGAN: Realistic Cloud Imagery for Image-based Lighting
Original language description
Achieving photorealism when rendering virtual scenes in movies or architecture visualizations often depends on providing a realistic illumination and background. Typically, spherical environment maps serve both as a natural light source from the Sun and the sky, and as a background with clouds and a horizon. In practice, the input is either a static high-resolution HDR photograph manually captured on location in real conditions, or an analytical clear sky model that is dynamic, but cannot model clouds. Our approach bridges these two limited paradigms: a user can control the sun position and cloud coverage ratio, and generate a realistically looking environment map for these conditions. It is a hybrid data-driven analytical model based on a modified state-of-the-art GAN architecture, which is trained on matching pairs of physically-accurate clear sky radiance and HDR fisheye photographs of clouds. We demonstrate our results on renders of outdoor scenes under varying time, date and cloud covers. Our source code and a dataset of 39 000 HDR sky images are publicly available at at https://github.com/CGGMFF/SkyGAN.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computer Graphics Forum
ISSN
0167-7055
e-ISSN
1467-8659
Volume of the periodical
Neuveden
Issue of the periodical within the volume
2023-11-17
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
nestránkováno
UT code for WoS article
001106236600001
EID of the result in the Scopus database
2-s2.0-85176594152