美妆:深层彩妆转移系统

Xinyu Ou, Si Liu, Xiaochun Cao, H. Ling
{"title":"美妆:深层彩妆转移系统","authors":"Xinyu Ou, Si Liu, Xiaochun Cao, H. Ling","doi":"10.1145/2964284.2973812","DOIUrl":null,"url":null,"abstract":"In this demo, we present a Beauty eMakeup System to automatically recommend the most suitable makeup for a female and synthesis the makeup on her face. Given a before-makeup face, her most suitable makeup is determined automatically. Then, both the before-makeup and the reference faces are fed into the proposed Deep Transfer Network to generate the after-makeup face. Our end-to-end makeup transfer network have several nice properties including: (1) with complete functions: including foundation, lip gloss, and eye shadow transfer; (2) cosmetic specific: different cosmetics are transferred in different manners; (3) localized: different cosmetics are applied on different facial regions; (4) producing naturally looking results without obvious artifacts; (5) controllable makeup lightness: various results from light makeup to heavy makeup can be generated. Extensive experimental evaluations and analysis on testing images well demonstrate the effectiveness of the proposed system.","PeriodicalId":140670,"journal":{"name":"Proceedings of the 24th ACM international conference on Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Beauty eMakeup: A Deep Makeup Transfer System\",\"authors\":\"Xinyu Ou, Si Liu, Xiaochun Cao, H. Ling\",\"doi\":\"10.1145/2964284.2973812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demo, we present a Beauty eMakeup System to automatically recommend the most suitable makeup for a female and synthesis the makeup on her face. Given a before-makeup face, her most suitable makeup is determined automatically. Then, both the before-makeup and the reference faces are fed into the proposed Deep Transfer Network to generate the after-makeup face. Our end-to-end makeup transfer network have several nice properties including: (1) with complete functions: including foundation, lip gloss, and eye shadow transfer; (2) cosmetic specific: different cosmetics are transferred in different manners; (3) localized: different cosmetics are applied on different facial regions; (4) producing naturally looking results without obvious artifacts; (5) controllable makeup lightness: various results from light makeup to heavy makeup can be generated. Extensive experimental evaluations and analysis on testing images well demonstrate the effectiveness of the proposed system.\",\"PeriodicalId\":140670,\"journal\":{\"name\":\"Proceedings of the 24th ACM international conference on Multimedia\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th ACM international conference on Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2964284.2973812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th ACM international conference on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2964284.2973812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

在这个演示中,我们展示了一个美容化妆系统,它可以自动为女性推荐最适合的化妆品,并在她的脸上合成化妆品。对于化妆前的脸,她最适合的妆容是自动确定的。然后,将化妆前脸和参考脸都输入到所提出的深度传输网络中,生成化妆后的脸。我们的端到端彩妆转移网络有几个很好的特性,包括:(1)功能齐全:包括粉底、唇彩、眼影转移;(2)化妆品专用性:不同的化妆品以不同的方式传递;(3)局部化:不同的化妆品涂抹在面部的不同区域;(4)效果自然,无明显伪影;(5)彩妆亮度可控:可产生从淡妆到浓妆的各种效果。大量的实验评估和测试图像分析很好地证明了该系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beauty eMakeup: A Deep Makeup Transfer System
In this demo, we present a Beauty eMakeup System to automatically recommend the most suitable makeup for a female and synthesis the makeup on her face. Given a before-makeup face, her most suitable makeup is determined automatically. Then, both the before-makeup and the reference faces are fed into the proposed Deep Transfer Network to generate the after-makeup face. Our end-to-end makeup transfer network have several nice properties including: (1) with complete functions: including foundation, lip gloss, and eye shadow transfer; (2) cosmetic specific: different cosmetics are transferred in different manners; (3) localized: different cosmetics are applied on different facial regions; (4) producing naturally looking results without obvious artifacts; (5) controllable makeup lightness: various results from light makeup to heavy makeup can be generated. Extensive experimental evaluations and analysis on testing images well demonstrate the effectiveness of the proposed system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信