An Inverse Procedural Modeling Pipeline for Stylized Brush Stroke Rendering

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dc.contributor.authorLi, Haoen_US
dc.contributor.authorGuan, Zhongyueen_US
dc.contributor.authorWang, Zeyuen_US
dc.contributor.editorHu, Ruizhenen_US
dc.contributor.editorCharalambous, Panayiotisen_US
dc.date.accessioned2024-04-30T08:19:07Z
dc.date.available2024-04-30T08:19:07Z
dc.date.issued2024
dc.description.abstractStylized brush strokes are crucial for digital artists to create drawings that express a desired artistic style. To obtain the ideal brush, artists need to spend much time manually tuning parameters and creating customized brushes, which hinders the completion, redrawing, or modification of digital drawings. This paper proposes an inverse procedural modeling pipeline for predicting brush parameters and rendering stylized strokes given a single sample drawing. Our pipeline involves patch segmentation as a preprocessing step, parameter prediction based on deep learning, and brush generation using a procedural rendering engine. Our method enhances the overall experience of digital drawing recreation by empowering artists with more intuitive control and consistent brush effects.en_US
dc.description.sectionheadersHuman Computer Interaction and Graphics
dc.description.seriesinformationEurographics 2024 - Short Papers
dc.identifier.doi10.2312/egs.20241024
dc.identifier.isbn978-3-03868-237-0
dc.identifier.issn1017-4656
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20241024
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egs20241024
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Image-based rendering; Machine learning; Applied computing → Media arts
dc.subjectComputing methodologies → Image
dc.subjectbased rendering
dc.subjectMachine learning
dc.subjectApplied computing → Media arts
dc.titleAn Inverse Procedural Modeling Pipeline for Stylized Brush Stroke Renderingen_US
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