{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T20:12:49Z","timestamp":1785269569674,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T00:00:00Z","timestamp":1539561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"IIE project","award":["No. Y6Z0021102 No. Y7Z0241102"],"award-info":[{"award-number":["No. Y6Z0021102 No. Y7Z0241102"]}]},{"name":"the National Program on Key Basic Research Project","award":["No. 2015CB352300"],"award-info":[{"award-number":["No. 2015CB352300"]}]},{"name":"International Partnership Program of Chinese Academy of Sciences","award":["172644KYSB20160033"],"award-info":[{"award-number":["172644KYSB20160033"]}]},{"name":"National Natural Science Foundation of China","award":["Nos. U1536203 61572493"],"award-info":[{"award-number":["Nos. U1536203 61572493"]}]},{"name":"National Natural Science Foundation of China Major Project","award":["No. U1611461"],"award-info":[{"award-number":["No. U1611461"]}]},{"name":"CCFTencent Open Research Fund"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,15]]},"DOI":"10.1145\/3240508.3240618","type":"proceedings-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T17:52:08Z","timestamp":1539885128000},"page":"645-653","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":218,"title":["BeautyGAN"],"prefix":"10.1145","author":[{"given":"Tingting","family":"Li","sequence":"first","affiliation":[{"name":"Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruihe","family":"Qian","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Dong","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Si","family":"Liu","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiong","family":"Yan","sequence":"additional","affiliation":[{"name":"SenseTime Research, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenwu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Lin","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guanghou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,10,15]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2013.6612994"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2015.09.005"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBA.2017.7947686"},{"key":"e_1_3_2_2_4_1","volume-title":"StarGAN: Unified Generative Adversarial Networks for Multi- Domain Image-to-Image Translation. arXiv preprint arXiv:1711.09020","author":"Choi Yunjey","year":"2017","unstructured":"Yunjey Choi , Minje Choi , Munyoung Kim , Jung-Woo Ha , Sunghun Kim , and Jaegul Choo . 2017. StarGAN: Unified Generative Adversarial Networks for Multi- Domain Image-to-Image Translation. arXiv preprint arXiv:1711.09020 ( 2017 ). Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo. 2017. StarGAN: Unified Generative Adversarial Networks for Multi- Domain Image-to-Image Translation. arXiv preprint arXiv:1711.09020 (2017)."},{"key":"e_1_3_2_2_5_1","volume-title":"Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on. IEEE, 391--398","author":"Dantcheva Antitza","year":"2012","unstructured":"Antitza Dantcheva , Cunjian Chen , and Arun Ross . 2012 . Can facial cosmetics affect the matching accuracy of face recognition systems?. In Biometrics: Theory , Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on. IEEE, 391--398 . Antitza Dantcheva, Cunjian Chen, and Arun Ross. 2012. Can facial cosmetics affect the matching accuracy of face recognition systems?. In Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on. IEEE, 391--398."},{"key":"e_1_3_2_2_6_1","volume-title":"Eye In-Painting with Exemplar Generative Adversarial Networks. arXiv preprint arXiv:1712.03999","author":"Dolhansky Brian","year":"2017","unstructured":"Brian Dolhansky and Cristian Canton Ferrer . 2017. Eye In-Painting with Exemplar Generative Adversarial Networks. arXiv preprint arXiv:1712.03999 ( 2017 ). Brian Dolhansky and Cristian Canton Ferrer. 2017. Eye In-Painting with Exemplar Generative Adversarial Networks. arXiv preprint arXiv:1712.03999 (2017)."},{"key":"e_1_3_2_2_7_1","unstructured":"Hasan Sheikh Faridul Tania Pouli Christel Chamaret J\u00fcrgen Stauder Alain Tr\u00e9meau Erik Reinhard etal 2014. A Survey of Color Mapping and its Applications. Eurographics (State of the Art Reports) 3 (2014).  Hasan Sheikh Faridul Tania Pouli Christel Chamaret J\u00fcrgen Stauder Alain Tr\u00e9meau Erik Reinhard et al. 2014. A Survey of Color Mapping and its Applications. Eurographics (State of the Art Reports) 3 (2014)."},{"key":"e_1_3_2_2_8_1","volume-title":"A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576","author":"Gatys Leon A","year":"2015","unstructured":"Leon A Gatys , Alexander S Ecker , and Matthias Bethge . 2015. A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576 ( 2015 ). Leon A Gatys, Alexander S Ecker, and Matthias Bethge. 2015. A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576 (2015)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.397"},{"key":"e_1_3_2_2_10_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.   Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_2_11_1","volume-title":"Computer Vision and Pattern Recognition, 2009. IEEE Conference on. IEEE, 73--79","author":"Guo Dong","year":"2009","unstructured":"Dong Guo and Terence Sim . 2009 . Digital face makeup by example . In Computer Vision and Pattern Recognition, 2009. IEEE Conference on. IEEE, 73--79 . Dong Guo and Terence Sim. 2009. Digital face makeup by example. In Computer Vision and Pattern Recognition, 2009. IEEE Conference on. IEEE, 73--79."},{"key":"e_1_3_2_2_12_1","volume-title":"Imageto- image translation with conditional adversarial networks. arXiv preprint arXiv:1611.07004","author":"Isola Phillip","year":"2016","unstructured":"Phillip Isola , Jun-Yan Zhu , Tinghui Zhou , and Alexei A Efros . 2016. Imageto- image translation with conditional adversarial networks. arXiv preprint arXiv:1611.07004 ( 2016 ). Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 2016. Imageto- image translation with conditional adversarial networks. arXiv preprint arXiv:1611.07004 (2016)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_2_2_14_1","volume-title":"Learning to discover cross-domain relations with generative adversarial networks. arXiv preprint arXiv:1703.05192","author":"Kim Taeksoo","year":"2017","unstructured":"Taeksoo Kim , Moonsu Cha , Hyunsoo Kim , Jungkwon Lee , and Jiwon Kim . 2017. Learning to discover cross-domain relations with generative adversarial networks. arXiv preprint arXiv:1703.05192 ( 2017 ). Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jungkwon Lee, and Jiwon Kim. 2017. Learning to discover cross-domain relations with generative adversarial networks. arXiv preprint arXiv:1703.05192 (2017)."},{"key":"e_1_3_2_2_15_1","volume-title":"Unsupervised visual attribute transfer with reconfigurable generative adversarial networks. arXiv preprint arXiv:1707.09798","author":"Kim Taeksoo","year":"2017","unstructured":"Taeksoo Kim , Byoungjip Kim , Moonsu Cha , and Jiwon Kim . 2017. Unsupervised visual attribute transfer with reconfigurable generative adversarial networks. arXiv preprint arXiv:1707.09798 ( 2017 ). Taeksoo Kim, Byoungjip Kim, Moonsu Cha, and Jiwon Kim. 2017. Unsupervised visual attribute transfer with reconfigurable generative adversarial networks. arXiv preprint arXiv:1707.09798 (2017)."},{"key":"e_1_3_2_2_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Christian Ledig Lucas Theis Ferenc Husz\u00e1r Jose Caballero Andrew Cunningham Alejandro Acosta Andrew Aitken Alykhan Tejani Johannes Totz Zehan Wang etal 2016. Photo-realistic single image super-resolution using a generative adversarial network. arXiv preprint arXiv:1609.04802 (2016).  Christian Ledig Lucas Theis Ferenc Husz\u00e1r Jose Caballero Andrew Cunningham Alejandro Acosta Andrew Aitken Alykhan Tejani Johannes Totz Zehan Wang et al. 2016. Photo-realistic single image super-resolution using a generative adversarial network. arXiv preprint arXiv:1609.04802 (2016).","DOI":"10.1109\/CVPR.2017.19"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_43"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299093"},{"key":"e_1_3_2_2_20_1","volume-title":"Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. arXiv preprint arXiv:1709.03654","author":"Li Yi","year":"2017","unstructured":"Yi Li , Lingxiao Song , Xiang Wu , Ran He , and Tieniu Tan . 2017. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. arXiv preprint arXiv:1709.03654 ( 2017 ). Yi Li, Lingxiao Song, Xiang Wu, Ran He, and Tieniu Tan. 2017. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. arXiv preprint arXiv:1709.03654 (2017)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073683"},{"key":"e_1_3_2_2_22_1","unstructured":"Ming-Yu Liu and Oncel Tuzel. 2016. Coupled generative adversarial networks. In Advances in neural information processing systems. 469--477.   Ming-Yu Liu and Oncel Tuzel. 2016. Coupled generative adversarial networks. In Advances in neural information processing systems. 469--477."},{"key":"e_1_3_2_2_23_1","volume-title":"Makeup like a superstar: deep localized makeup transfer network. In the Association for the Advance of Artificial Intelligence","author":"Liu Si","unstructured":"Si Liu , Xinyu Ou , Ruihe Qian , Wei Wang , and Xiaochun Cao . 2016. Makeup like a superstar: deep localized makeup transfer network. In the Association for the Advance of Artificial Intelligence . AAAI Press , 2568--2575. Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang, and Xiaochun Cao. 2016. Makeup like a superstar: deep localized makeup transfer network. In the Association for the Advance of Artificial Intelligence. AAAI Press, 2568--2575."},{"key":"e_1_3_2_2_24_1","volume-title":"Multi-class Generative Adversarial Networks with the L2 Loss Function. CoRR abs\/1611.04076","author":"Mao Xudong","year":"2016","unstructured":"Xudong Mao , Qing Li , Haoran Xie , Raymond Y. K. Lau , and Zhen Wang . 2016. Multi-class Generative Adversarial Networks with the L2 Loss Function. CoRR abs\/1611.04076 ( 2016 ). arXiv:1611.04076 http:\/\/arxiv.org\/abs\/1611.04076 Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, and Zhen Wang. 2016. Multi-class Generative Adversarial Networks with the L2 Loss Function. CoRR abs\/1611.04076 (2016). arXiv:1611.04076 http:\/\/arxiv.org\/abs\/1611.04076"},{"key":"e_1_3_2_2_25_1","volume-title":"Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784","author":"Mirza Mehdi","year":"2014","unstructured":"Mehdi Mirza and Simon Osindero . 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 ( 2014 ). Mehdi Mirza and Simon Osindero. 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)."},{"key":"e_1_3_2_2_26_1","volume-title":"Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957","author":"Miyato Takeru","year":"2018","unstructured":"Takeru Miyato , Toshiki Kataoka , Masanori Koyama , and Yuichi Yoshida . 2018. Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957 ( 2018 ). Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida. 2018. Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957 (2018)."},{"key":"e_1_3_2_2_27_1","volume-title":"Learning from simulated and unsupervised images through adversarial training. arXiv preprint arXiv:1612.07828","author":"Shrivastava Ashish","year":"2016","unstructured":"Ashish Shrivastava , Tomas P'ster , Oncel Tuzel , Josh Susskind ,WendaWang, and Russ Webb . 2016. Learning from simulated and unsupervised images through adversarial training. arXiv preprint arXiv:1612.07828 ( 2016 ). Ashish Shrivastava, Tomas P'ster, Oncel Tuzel, Josh Susskind,WendaWang, and Russ Webb. 2016. Learning from simulated and unsupervised images through adversarial training. arXiv preprint arXiv:1612.07828 (2016)."},{"key":"e_1_3_2_2_28_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014).  K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/PG.2007.21"},{"key":"e_1_3_2_2_30_1","volume-title":"Lempitsky","author":"Ulyanov Dmitry","year":"2016","unstructured":"Dmitry Ulyanov , Andrea Vedaldi , and Victor S . Lempitsky . 2016 . Instance Normalization : The Missing Ingredient for Fast Stylization. CoRR abs\/1607.08022 (2016). arXiv:1607.08022 http:\/\/arxiv.org\/abs\/1607.08022 Dmitry Ulyanov, Andrea Vedaldi, and Victor S. Lempitsky. 2016. Instance Normalization: The Missing Ingredient for Fast Stylization. CoRR abs\/1607.08022 (2016). arXiv:1607.08022 http:\/\/arxiv.org\/abs\/1607.08022"},{"key":"e_1_3_2_2_31_1","unstructured":"Shuyang Wang and Yun Fu. 2016. Face Behind Makeup. In the Association for the Advance of Artificial Intelligence. 58--64.   Shuyang Wang and Yun Fu. 2016. Face Behind Makeup. In the Association for the Advance of Artificial Intelligence. 58--64."},{"key":"e_1_3_2_2_32_1","volume-title":"Learning Adaptive Receptive Fields for Deep Image Parsing Network. In IEEE Conference on Computer Vision and Pattern Recognition. 2434--2442","author":"Wei Zhen","year":"2017","unstructured":"Zhen Wei , Yao Sun , Jinqiao Wang , Hanjiang Lai , and Si Liu . 2017 . Learning Adaptive Receptive Fields for Deep Image Parsing Network. In IEEE Conference on Computer Vision and Pattern Recognition. 2434--2442 . Zhen Wei, Yao Sun, Jinqiao Wang, Hanjiang Lai, and Si Liu. 2017. Learning Adaptive Receptive Fields for Deep Image Parsing Network. In IEEE Conference on Computer Vision and Pattern Recognition. 2434--2442."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_36"},{"key":"e_1_3_2_2_35_1","volume-title":"Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593","author":"Zhu Jun-Yan","year":"2017","unstructured":"Jun-Yan Zhu , Taesung Park , Phillip Isola , and Alexei A Efros . 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593 ( 2017 ). Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593 (2017)."}],"event":{"name":"MM '18: ACM Multimedia Conference","location":"Seoul Republic of Korea","acronym":"MM '18","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 26th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240508.3240618","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3240508.3240618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:34Z","timestamp":1750208254000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240508.3240618"}},"subtitle":["Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network"],"short-title":[],"issued":{"date-parts":[[2018,10,15]]},"references-count":35,"alternative-id":["10.1145\/3240508.3240618","10.1145\/3240508"],"URL":"https:\/\/doi.org\/10.1145\/3240508.3240618","relation":{},"subject":[],"published":{"date-parts":[[2018,10,15]]},"assertion":[{"value":"2018-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}