Knowledge Commons of Institute of Automation,CAS
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 | |
发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING |
2017 | |
卷号 | 26期号:1页码:464-478 |
文章类型 | Article |
摘要 | 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. |
关键词 | Cartoon Face Face Stylization Data-driven Synthesis Component-based Modeling |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TIP.2016.2628581 |
关键词[WOS] | SKETCH SYNTHESIS ; REPRESENTATION |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National 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研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000397221700010 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12378 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
通讯作者 | Dong, Weiming |
作者单位 | 1.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 |
第一作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
通讯作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
推荐引用方式 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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Data-Driven Synthesi(6453KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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