Image Vectorization via Gradient Reconstruction

dc.contributor.authorChakraborty, Souymodipen_US
dc.contributor.authorBatra, Vineeten_US
dc.contributor.authorPhogat, Ankiten_US
dc.contributor.authorJain, Vishwasen_US
dc.contributor.authorRanawat, Jaswant Singhen_US
dc.contributor.authorDhingra, Sumiten_US
dc.contributor.authorWampler, Kevinen_US
dc.contributor.authorFisher, Matthewen_US
dc.contributor.authorLukác, Michalen_US
dc.contributor.editorBousseau, Adrienen_US
dc.contributor.editorDay, Angelaen_US
dc.date.accessioned2025-05-09T09:14:27Z
dc.date.available2025-05-09T09:14:27Z
dc.date.issued2025
dc.description.abstractWe present a fully automated technique that segments raster images into smooth shaded regions and reconstructs them using an optimal mix of solid fills, linear gradients, and radial gradients. Our method leverages a novel discontinuity-aware segmentation strategy and gradient reconstruction algorithm to accurately capture intricate shading details and produce compact Bézier curve representations. Extensive evaluations on both designer-created art and generative images demonstrate that our approach achieves high visual fidelity with minimal geometric complexity and fast processing times. This work offers a robust and versatile solution for converting detailed raster images into scalable vector graphics, addressing the evolving needs of modern design workflows.en_US
dc.description.number2
dc.description.sectionheadersDrawn to Detail: Sketch-Based Modeling and Non-Photorealistic Rendering
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70055
dc.identifier.issn1467-8659
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70055
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70055
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 → Image processing
dc.subjectComputing methodologies → Image processing
dc.titleImage Vectorization via Gradient Reconstructionen_US
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