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dc.contributor.authorQiu, Sherryen_US
dc.contributor.authorWang, Zeyuen_US
dc.contributor.authorMcMillan, Leonarden_US
dc.contributor.authorRushmeier, Hollyen_US
dc.contributor.authorDorsey, Julieen_US
dc.contributor.editorBabaei, Vahiden_US
dc.contributor.editorSkouras, Melinaen_US
dc.date.accessioned2023-05-03T06:02:54Z
dc.date.available2023-05-03T06:02:54Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-209-7
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egs.20231009
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20231009
dc.description.abstractThe drawing process is crucial to understanding the final result of a drawing. There has been a long history of understanding human drawing; what kinds of strokes people use and where they are placed. An area of interest in Artificial Intelligence is developing systems that simulate human behavior in drawing. However, there has been little work done to understand the order of strokes in the drawing process. Without sufficient understanding of natural drawing order, it is difficult to build models that can generate natural drawing processes. In this paper, we present a study comparing multiple types of stroke orders to confirm findings from previous work and demonstrate that multiple orderings of the same set of strokes can be perceived as human-drawn and different stroke order types achieve different perceived naturalness depending on the type of image prompt.en_US
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 → Perception; Image processing; Applied computing → Fine arts
dc.subjectComputing methodologies → Perception
dc.subjectImage processing
dc.subjectApplied computing → Fine arts
dc.titleIs Drawing Order Important?en_US
dc.description.seriesinformationEurographics 2023 - Short Papers
dc.description.sectionheadersPerception for Sketches, VR, and Vision
dc.identifier.doi10.2312/egs.20231009
dc.identifier.pages37-40
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