Data-Driven Synthesis of Cartoon Faces Using Different Styles

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ZHANG, Yong, Weiming DONG, Chongyang MA, Xing MEI, Ke LI, Feiyue HUANG, Bao-Gang HU, Oliver DEUSSEN, 2017. Data-Driven Synthesis of Cartoon Faces Using Different Styles. In: IEEE Transactions on image processing. 26(1), pp. 464-478. ISSN 1057-7149. eISSN 1941-0042

@article{Zhang2017Data--36075, title={Data-Driven Synthesis of Cartoon Faces Using Different Styles}, year={2017}, doi={10.1109/TIP.2016.2628581}, number={1}, volume={26}, issn={1057-7149}, journal={IEEE Transactions on image processing}, pages={464--478}, author={Zhang, Yong and Dong, Weiming and Ma, Chongyang and Mei, Xing and Li, Ke and Huang, Feiyue and Hu, Bao-Gang and Deussen, Oliver} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/36075"> <dc:contributor>Deussen, Oliver</dc:contributor> <dc:creator>Huang, Feiyue</dc:creator> <dc:creator>Li, Ke</dc:creator> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/36075"/> <dc:creator>Ma, Chongyang</dc:creator> <dcterms:title>Data-Driven Synthesis of Cartoon Faces Using Different Styles</dcterms:title> <dcterms:abstract xml:lang="eng">This paper presents a data-driven approach for automatically generating cartoon faces in different styles from a given portrait image. Our stylization pipeline consists of two steps: an offline analysis step to learn about how to select and compose facial components from the databases; a runtime synthesis step to generate the cartoon face by assembling parts from a database of stylized facial components. We propose an optimization framework that, for a given artistic style, simultaneously considers the desired image-cartoon relationships of the facial components and a proper adjustment of the image composition. We measure the similarity between facial components of the input image and our cartoon database via image feature matching, and introduce a probabilistic framework for modeling the relationships between cartoon facial components. We incorporate prior knowledge about image-cartoon relationships and the optimal composition of facial components extracted from a set of cartoon faces to maintain a natural, consistent, and attractive look of the results. We demonstrate generality and robustness of our approach by applying it to a variety of portrait images and compare our output with stylized results created by artists via a comprehensive user study</dcterms:abstract> <dc:contributor>Huang, Feiyue</dc:contributor> <dc:contributor>Zhang, Yong</dc:contributor> <dc:contributor>Li, Ke</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-11-25T09:24:04Z</dc:date> <dc:contributor>Hu, Bao-Gang</dc:contributor> <dc:contributor>Mei, Xing</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-11-25T09:24:04Z</dcterms:available> <dc:creator>Mei, Xing</dc:creator> <dc:creator>Deussen, Oliver</dc:creator> <dc:creator>Hu, Bao-Gang</dc:creator> <dc:contributor>Ma, Chongyang</dc:contributor> <dc:language>eng</dc:language> <dc:creator>Dong, Weiming</dc:creator> <dcterms:issued>2017</dcterms:issued> <dc:contributor>Dong, Weiming</dc:contributor> <dc:creator>Zhang, Yong</dc:creator> </rdf:Description> </rdf:RDF>

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