CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Data-Driven Synthesis of Cartoon Faces Using Different Styles
Zhang, Yong1,2,3; Dong, Weiming1,2; Ma, Chongyang4; Mei, Xing1,2; Li, Ke5; Huang, Feiyue; Hu, Bao-Gang1,2; Deussen, Oliver6,7
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2017
Volume26Issue:1Pages:464-478
SubtypeArticle
AbstractThis 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.
KeywordCartoon Face Face Stylization Data-driven Synthesis Component-based Modeling
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIP.2016.2628581
WOS KeywordSKETCH SYNTHESIS ; REPRESENTATION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61672520 ; Beijing Natural Science Foundation(4162056) ; National Foreign Thousand Talents Plan(WQ201344000169) ; Leading Talents of Guangdong Program(00201509) ; CASIA Tencent Youtu Joint Research Project ; 61573348 ; 61271430 ; 61372184)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000397221700010
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12378
Collection模式识别国家重点实验室_多媒体计算与图形学
Corresponding AuthorDong, Weiming
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Lab Comp Sci Automat & Appl Math, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Southern Calif, Los Angeles, CA 90007 USA
5.Youtu Lab, Shanghai 200233, Peoples R China
6.Univ Konstanz, D-78457 Constance, Germany
7.Shenzhen Inst Adv Technol, Shenzhen 518172, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yong,Dong, Weiming,Ma, Chongyang,et al. Data-Driven Synthesis of Cartoon Faces Using Different Styles[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(1):464-478.
APA Zhang, Yong.,Dong, Weiming.,Ma, Chongyang.,Mei, Xing.,Li, Ke.,...&Deussen, Oliver.(2017).Data-Driven Synthesis of Cartoon Faces Using Different Styles.IEEE TRANSACTIONS ON IMAGE PROCESSING,26(1),464-478.
MLA Zhang, Yong,et al."Data-Driven Synthesis of Cartoon Faces Using Different Styles".IEEE TRANSACTIONS ON IMAGE PROCESSING 26.1(2017):464-478.
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