Original paper
Putative ratios of facial attractiveness in a deep neural network
Abstract
Empirical evidence has shown that there is an ideal arrangement of facial features (ideal ratios) that can optimize the attractiveness of a person’s face. These putative ratios define facial attractiveness in terms of spatial relations and provide important rules for measuring the attractiveness of a face. In this paper, we show that a deep neural network (DNN) model can learn putative ratios from face images based only on categorical annotation...
Paper Details
Title
Putative ratios of facial attractiveness in a deep neural network
Published Date
Jan 1, 2021
Journal
Volume
178
Pages
86 - 99
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