CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks
Li, Huai-Yu1,2; Dong, Wei-Ming1; Hu, Bao-Gang1
Source PublicationJOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
2018-05-01
Volume33Issue:3Pages:511-521
SubtypeArticle
AbstractThis study introduces a novel conditional recycle generative adversarial network for facial attribute transformation, which can transform high-level semantic face attributes without changing the identity. In our approach, we input a source facial image to the conditional generator with target attribute condition to generate a face with the target attribute. Then we recycle the generated face back to the same conditional generator with source attribute condition. A face which should be similar to that of the source face in personal identity and facial attributes is generated. Hence, we introduce a recycle reconstruction loss to enforce the final generated facial image and the source facial image to be identical. Evaluations on the CelebA dataset demonstrate the effectiveness of our approach. Qualitative results show that our approach can learn and generate high-quality identity-preserving facial images with specified attributes.
KeywordGenerative Adversarial Network Image Editing Facial Attributes Transformation
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11390-018-1835-2
Indexed BySCI ; ISTP
Language英语
Funding OrganizationNational Natural Science Foundation of China(61672520 ; Beijing Natural Science Foundation of China(4162056) ; National Key Technology Research and Development Program of China(2015BAH53F02) ; CASIA-Tencent YouTu Jointly Research Project ; 61573348 ; 61620106003 ; 61720106006)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS IDWOS:000432141000008
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22033
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Li, Huai-Yu,Dong, Wei-Ming,Hu, Bao-Gang. Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2018,33(3):511-521.
APA Li, Huai-Yu,Dong, Wei-Ming,&Hu, Bao-Gang.(2018).Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,33(3),511-521.
MLA Li, Huai-Yu,et al."Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 33.3(2018):511-521.
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