{"type":"ScholarlyArticle","title":"Makeup Like a Superstar: Deep Localized Makeup Transfer Network","authors":[{"name":"Si Liu","slug":"si-liu","given":"Si","family":"Liu","affiliation":""},{"name":"Xinyu Ou","slug":"xinyu-ou","given":"Xinyu","family":"Ou","affiliation":""},{"name":"Ruihe Qian","slug":"ruihe-qian","given":"Ruihe","family":"Qian","affiliation":""},{"name":"Wei Wang","slug":"wei-wang-2","given":"Wei","family":"Wang","affiliation":""},{"name":"Xiaochun Cao","slug":"xiaochun-cao","given":"Xiaochun","family":"Cao","affiliation":""}],"abstract":"In this paper, we propose a novel Deep Localized Makeup Transfer Network 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. Qualitative and quantitative experiments show that our network performs much better than the methods of [Guo and Sim, 2009] and two variants of NerualStyle [Gatys et al., 2015a].","doi":null,"url":"https://ijcai.org/proceedings/2016/365","pdf":"https://ijcai.org/proceedings/2016/0365.pdf","markdown":"https://ijcai.org/proceedings/2016/365.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/365","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":365,"pages":{"first":2568,"last":2574},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}