SkyGAN: Realistic Cloud Imagery for Image‐based Lighting

Simple item page
dc.contributor.authorMirbauer, Martinen_US
dc.contributor.authorRittig, Tobiasen_US
dc.contributor.authorIser, Tomášen_US
dc.contributor.authorKřivánek, Jaroslaven_US
dc.contributor.authorŠikudová, Elenaen_US
dc.contributor.editorAlliez, Pierreen_US
dc.contributor.editorWimmer, Michaelen_US
dc.date.accessioned2024-03-23T10:14:19Z
dc.date.available2024-03-23T10:14:19Z
dc.date.issued2024
dc.description.abstractAchieving 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 .en_US
dc.description.number1
dc.description.sectionheadersARTICLES
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.14990
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14990
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf14990
dc.publisher© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectmodelling; natural phenomena
dc.subjectrendering; image‐based rendering
dc.subjectrendering; atmospheric effects
dc.titleSkyGAN: Realistic Cloud Imagery for Image‐based Lightingen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
v43i1_04_cgf14990.pdf
Size:
5.29 MB
Format:
Adobe Portable Document Format
Download
Collections
43-Issue 1