Face Enhancement
Face Enhancement is a computational method designed to improve the visual quality or perceptual attributes of facial images by selectively modifying facial features while preserving identity and structural integrity.
282
Publications
12.6K
Citations
858
Authors
303
Institutions
Publications per year
2017–2026
161
Parents
282
AttGAN: Facial Attribute Editing by Only Changing What You Want
Zhenliang He, Wangmeng Zuo, Meina Kan et al. · IEEE Transactions on Image Processing · 2019 · 845 citations
Simon Baker, Takeo Kanade · 2002 · 614 citations
Adaptive norm-based coding of facial identity
Gillian Rhodes, Linda Jeffery · Vision Research · 2006 · 330 citations
1–5 of 282
858
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Atal Bihari Vajpayee Indian Institute of Information Technology and Management, India
4 publications · 59 citations
5
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5
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4
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4
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1–5 of 858
303

Chinese Academy of Sciences
Beijing, China
14 h-index
38 publications
4.5K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
31 publications
1.3K citations
University of Science and Technology of China
Hefei, China
9 h-index
22 publications
769 citations

South China University of Technology
Guangzhou, China
8 h-index
17 publications
701 citations
Tencent (China)
Shenzhen, China
7 h-index
18 publications
1.8K citations

Zhejiang University
Hangzhou, China
7 h-index
14 publications
660 citations

City University of Hong Kong
Hong Kong, Hong Kong
7 h-index
24 publications
2.4K citations

Xidian University
Xi'an, China
6 h-index
22 publications
869 citations
1–8 of 303
13 publications · 577 citations
12
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13 publications · 233 citations
12
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12 publications · 373 citations
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Repository · 10 publications · 387 citations
10
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5 publications · 355 citations
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