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 …

Deep data-driven methodologies have significantly enhanced the automatic facial beauty
prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its …

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 …

Users on online dating platforms tend to encounter a cold-start problem, with limited user
engagement in the initial stages of the matching process; this is partially due to privacy …

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 …

Facial beauty prediction (FBP) has become an emerging area in the field of artificial
intelligence. However, the lacks of data and accurate face representation hinder the …

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) …

Automatic facial beauty assessment has recently attracted a growing interest and achieved
impressive results. However, despite the obvious subjectivity of beauty perception, most …

This review delves into Facial Beauty Prediction (FBP) using deep learning, specifically
focusing on convolutional neural networks (CNNs). It synthesizes recent advancements in …