With the development of Internet culture, cuteness has become a popular concept. Many people are curious about what factors making a person look cute. However, there is rare research to answer this interesting question. In this work, we construct a dataset of personal images with comprehensively annotated cuteness scores and facial attributes to investigate this high-level concept in depth. Based on this dataset, through an automatic attributes mining process, we find several critical attributes determining the cuteness of a person. We also develop a novel Continuous Latent Support Vector Machine (C-LSVM) method to predict the cuteness score of one person given only his image. Extensive evaluations validate the effectiveness of the proposed method for cuteness prediction.
@article{arxiv.1508.03953,
title = {Sense Beyond Expressions: Cuteness},
author = {Kang Wang and Tam V. Nguyen and Jiashi Feng and Jose Sepulveda},
journal= {arXiv preprint arXiv:1508.03953},
year = {2015}
}