Neural Film Grain Rendering

dc.contributor.authorLesné, Gwilhermen_US
dc.contributor.authorGousseau, Yannen_US
dc.contributor.authorLadjal, Saïden_US
dc.contributor.authorNewson, Alasdairen_US
dc.contributor.editorBousseau, Adrienen_US
dc.contributor.editorDay, Angelaen_US
dc.date.accessioned2025-05-09T09:16:22Z
dc.date.available2025-05-09T09:16:22Z
dc.date.issued2025
dc.description.abstractFilm grain refers to the specific texture of film-acquired images, due to the physical nature of photographic film. Being a visual signature of such images, there is a strong interest in the film-industry for the rendering of these textures for digital images. Some previous works are able to closely mimic the physics of films and produce high quality results, but are computationally expensive. We propose a method based on a lightweight neural network and a texture aware loss function, achieving realistic results with very low complexity, even for large grains and high resolutions. We evaluate our algorithm both quantitatively and qualitatively with respect to previous work.en_US
dc.description.number2
dc.description.sectionheadersThe Artful Edit: Stylization and Editing for Images and Video
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70076
dc.identifier.issn1467-8659
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70076
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70076
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Texturing; Image processing; Computational photography; Neural networks
dc.subjectComputing methodologies → Texturing
dc.subjectImage processing
dc.subjectComputational photography
dc.subjectNeural networks
dc.titleNeural Film Grain Renderingen_US
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