GAN-Based Facial Attribute Manipulation
文献类型:期刊论文
作者 | Liu, Yunfan1; Li, Qi2,3; Deng, Qiyao4; Sun, Zhenan2,3; Yang, Ming-Hsuan5,6 |
刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
出版日期 | 2023-12-01 |
卷号 | 45期号:12页码:14590-14610 |
ISSN号 | 0162-8828 |
关键词 | Generative adversarial networks image translation facial attribute manipulation |
DOI | 10.1109/TPAMI.2023.3298868 |
英文摘要 | Facial Attribute Manipulation (FAM) aims to aesthetically modify a given face image to render desired attributes, which has received significant attention due to its broad practical applications ranging from digital entertainment to biometric forensics. In the last decade, with the remarkable success of Generative Adversarial Networks (GANs) in synthesizing realistic images, numerous GAN-based models have been proposed to solve FAM with various problem formulation approaches and guiding information representations. This paper presents a comprehensive survey of GAN-based FAM methods with a focus on summarizing their principal motivations and technical details. The main contents of this survey include: (i) an introduction to the research background and basic concepts related to FAM, (ii) a systematic review of GAN-based FAM methods in three main categories, and (iii) an in-depth discussion of important properties of FAM methods, open issues, and future research directions. This survey not only builds a good starting point for researchers new to this field but also serves as a reference for the vision community. |
WOS关键词 | TO-IMAGE TRANSLATION ; DATABASE ; FACES |
资助项目 | National Key Research and Development Program of China[2022YFC3310400] ; National Natural Science Foundation of China[62076240] ; National Natural Science Foundation of China[62276263] ; Beijing Municipal Natural Science Foundation[4222054] ; Youth Innovation Promotion Association CAS[Y2023143] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
出版者 | IEEE COMPUTER SOC |
WOS记录号 | WOS:001102096400002 |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Youth Innovation Promotion Association CAS |
源URL | [http://ir.ia.ac.cn/handle/173211/55092] |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Li, Qi |
作者单位 | 1.Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 101408, Peoples R China 2.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Peoples Publ Secur Univ China, Beijing 100038, Peoples R China 5.Univ Calif Merced, Merced, CA 95343 USA 6.Yonsei Univ, Seoul 03722, South Korea |
推荐引用方式 GB/T 7714 | Liu, Yunfan,Li, Qi,Deng, Qiyao,et al. GAN-Based Facial Attribute Manipulation[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2023,45(12):14590-14610. |
APA | Liu, Yunfan,Li, Qi,Deng, Qiyao,Sun, Zhenan,&Yang, Ming-Hsuan.(2023).GAN-Based Facial Attribute Manipulation.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,45(12),14590-14610. |
MLA | Liu, Yunfan,et al."GAN-Based Facial Attribute Manipulation".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 45.12(2023):14590-14610. |
入库方式: OAI收割
来源:自动化研究所
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