Transfusive Weights for Content-Aware Image Manipulation

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dc.contributor.authorYĆ¼cer, Kaanen_US
dc.contributor.authorSorkine-Hornung, Alexanderen_US
dc.contributor.authorSorkine-Hornung, Olgaen_US
dc.contributor.editorMichael Bronstein and Jean Favre and Kai Hormannen_US
dc.date.accessioned2014-02-01T16:26:03Z
dc.date.available2014-02-01T16:26:03Z
dc.date.issued2013en_US
dc.description.abstractMany image editing operations, such as colorization, matting or deformation, can be performed by propagating user-defined sparse constraints (e.g. scribbles) to the rest of the image using content-aware weight functions. Image manipulation has been recently extended to simultaneous editing of multiple images of the same subject or scene by precomputing dense correspondences, where the content-aware weights play a core role in defining the sub-pixel accurate image warps from source to target images. In this paper, we expand the range of applications for content-aware weights to the multi-image setting and improve the quality of the recently proposed weights and the matching framework. We show that multiple images of a subject can be used to refine the content-aware weights, and we propose a customization of the weights to enable easily-controllable interactive depth segmentation and assignment, image matting and deformation transfer, both in single- and multi-image settings.en_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.identifier.isbn978-3-905674-51-4en_US
dc.identifier.urihttps://doi.org/10.2312/PE.VMV.VMV13.057-064en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.titleTransfusive Weights for Content-Aware Image Manipulationen_US
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