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Deep Face Beautification
2015
Proceedings of the 23rd ACM international conference on Multimedia - MM '15
The beautification of human photos usually requires professional editing softwares, which are difficult for most users. In this technical demonstration, we propose a deep face beautification framework, which is able to automatically modify the geometrical structure of a face so as to boost the attractiveness. A learning based approach is adopted to capture the underlying relations between the facial shape and the attractiveness via training the Deep Beauty Predictor (DBP). Relying on the
doi:10.1145/2733373.2807966
dblp:conf/mm/LiXLSY15
fatcat:g2lc7t3p7nfytaibz4vkdcxtu4