In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

Which stimulus and person characteristics determine aesthetic appreciation? For many
centuries, philosophers and scientists have been trying to solve this complex puzzle …

People spend considerable time within built environments. In this study, we tested two
hypotheses about the relationship between people and built environments. First, aesthetic …

Image generation techniques have been gaining increasing attention recently, but concerns
have been raised about the potential misuse and intellectual property (IP) infringement …

As artificial intelligence (AI) technology increasingly becomes a feature of everyday life, it is
important to understand how creative acts, regarded as uniquely human, can be valued if …

In this work, I propose a model of visual aesthetic experience that combines formalist and
contextual aspects of aesthetics. The model distinguishes between two modes of …

Self-supervised learning is widely used in various domains for building foundation models. It
has been demonstrated to achieve state-of-the-art performance in a range of tasks. In the …

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

An eye disease affects the entire sensory operation, and an unrecognised and untreated
eye disease may lead to loss of vision. The proposed work aims to develop an automated …

Scene complexity refers to the difficulty of human perception and understanding of the
specific environment. An environment is complex when it has many parts or components …