Understanding Beauty via Deep Facial Features

Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Figure 1 . In each image pair, which one (Left or Right) is more attractive? We propose a method and a novel perspective of beauty understanding via deep facial features, which allows us to analyze which facial attributes contribute positively or negatively to beauty perception. To validate our result, we manipulate the facial attributes and synthesize new images. In each case, left corresponds to the original image, and right represents the synthesized one. The sample modified facial
more » ... from left to right are small nose to big nose, male to female, no-makeup to makeup, and young to aged. To see our discovery to the first question, please read remaining of the paper.
doi:10.1109/cvprw.2019.00034 dblp:conf/cvpr/LiuLPOKW19 fatcat:ivziqfodhbaf7ozsr25c7jbmre