Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …

The past three decades have seen multiple reports of people with neurodegenerative
disorders, or other forms of changes in their brains, who also show putative changes in how …

The style of an image plays a significant role in how it is viewed, but style has received little
attention in computer vision research. We describe an approach to predicting style of …

Image editing applications offer a wide array of tools for color manipulation. Some of these
tools are easy to understand but offer a limited range of expressiveness. Other more …

In this tutorial, we define and discuss key aspects of the problem of computational inference
of aesthetics and emotion from images. We begin with a background discussion on …

It is an open question whether preferences for visual art can be lawfully predicted from the
basic constituent elements of a visual image. Here, we developed and tested a …

The goal of no-reference objective image quality assessment (NR-IQA) is to develop a
computational model that can predict the human-perceived quality of distorted images …

Recent studies have shown remarkable success in universal style transfer which transfers
arbitrary visual styles to content images. However, existing approaches suffer from the …

This paper studies color compatibility theories using large datasets, and develops new tools
for choosing colors. There are three parts to this work. First, using on-line datasets, we test …

Image aesthetics assessment (IAA) is a challenging task due to its highly subjective nature.
Most of the current studies rely on large-scale datasets (eg, AVA and AADB) to learn a …