Facial attractiveness or facial beauty prediction (FBP) is a current study that has several
potential usages. It is a key difficulty area in the computer vision domain because of the few …

In the last decade, several studies have shown that facial attractiveness can be learned by
machines. In this paper, we address Facial Beauty Prediction from static images. The paper …

Facial symmetry is a key component in quantifying the perception of beauty. In this paper,
we propose a set of facial features computed from facial landmarks which can be extracted …

Accepted: 10 February 2023 One of the most effective social aspects of the human face is its
attractiveness. Automatic facial beauty prediction (FBP) is an emerging research area that …

Facial beauty prediction (FBP) is a burgeoning issue for attractiveness evaluation, which
aims to make assessment consistent with human opinion. Since FBP is a regression …

Automatic facial beauty assessment is an emerging research area with various applications.
Modeling beauty objectively is an extremely challenging task, mainly due to the lack of a …

In recent years, estimating beauty of faces has attracted growing interest in the fields of
computer vision and machine learning. This is due to the emergence of face beauty datasets …

Facial beauty prediction (FBP) is an important and challenging problem in the fields of
computer vision and machine learning. Not only it is easily prone to overfitting due to the …

While beauty is subjective, it is not easy to quantify. Assessing facial beauty based on a
computer perspective is an emerging research area with various applications. Different …

Facial beauty analysis is an important topic in human society. It may be used as a guidance
for face beautification applications such as cosmetic surgery. Deep neural networks (DNNs) …