Show simple item record

dc.contributor.authorZheng, Yudianen_US
dc.contributor.authorCun, Xiaodongen_US
dc.contributor.authorXia, Menghanen_US
dc.contributor.authorPun, Chi-Manen_US
dc.contributor.editorBermano, Amit H.en_US
dc.contributor.editorKalogerakis, Evangelosen_US
dc.date.accessioned2024-04-16T14:42:15Z
dc.date.available2024-04-16T14:42:15Z
dc.date.issued2024
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.15044
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf15044
dc.description.abstractUnderstanding semantic intricacies and high-level concepts is essential in image sketch generation, and this challenge becomes even more formidable when applied to the domain of videos. To address this, we propose a novel optimization-based framework for sketching videos represented by the frame-wise Bézier Curves. In detail, we first propose a cross-frame stroke initialization approach to warm up the location and the width of each curve. Then, we optimize the locations of these curves by utilizing a semantic loss based on CLIP features and a newly designed consistency loss using the self-decomposed 2D atlas network. Built upon these design elements, the resulting sketch video showcases notable visual abstraction and temporal coherence. Furthermore, by transforming a video into vector lines through the sketching process, our method unlocks applications in sketch-based video editing and video doodling, enabled through video composition.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleSketch Video Synthesisen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersVector Art and Line Drawings
dc.description.volume43
dc.description.number2
dc.identifier.doi10.1111/cgf.15044
dc.identifier.pages11 pages


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record