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dc.contributor.authorZhang, Xianyaoen_US
dc.contributor.authorRöthlin, Gerharden_US
dc.contributor.authorManzi, Marcoen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.authorPapas, Mariosen_US
dc.contributor.editorRitschel, Tobiasen_US
dc.contributor.editorWeidlich, Andreaen_US
dc.date.accessioned2023-06-27T06:42:00Z
dc.date.available2023-06-27T06:42:00Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-228-8
dc.identifier.issn1727-3463
dc.identifier.urihttps://doi.org/10.2312/sr.20231142
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sr20231142
dc.description.abstractPath tracing is the prevalent rendering algorithm in the animated movies and visual effects industry, thanks to its simplicity and ability to render physically plausible lighting effects. However, we must simulate millions of light paths before producing one final image, and error manifests as noise during rendering. In fact, it can take tens or even hundreds of CPU hours on a modern computer to render a plausible frame in a recent animated movie. Movie production and the VFX industry rely on image-based denoising algorithms to ameliorate the rendering cost, which suppresses the noise due to rendering by reusing information in the neighborhood of the pixels both spatially and temporally.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleDeep Compositional Denoising on Frame Sequencesen_US
dc.description.seriesinformationEurographics Symposium on Rendering
dc.description.sectionheadersIndustry Track
dc.identifier.doi10.2312/sr.20231142
dc.identifier.pages139-142
dc.identifier.pages4 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License