Technologies related to artificial intelligence (AI) have a strong impact on the changes of
research and creative practices in visual arts. The growing number of research initiatives …

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 …

Multimodal Large Language Model (MLLM) recently has been a new rising research
hotspot, which uses powerful Large Language Models (LLMs) as a brain to perform …

This paper presents the design, implementation, and evaluation of the PyTorch distributed
data parallel module. PyTorch is a widely-adopted scientific computing package used in …

Recently style transfer has received a lot of attention. While much of this research has aimed
at speeding up the processing, the approaches are still lacking from a principled, art …

This paper provides an overview of some of the most relevant deep learning approaches to
pattern extraction and recognition in visual arts, particularly painting and drawing. Recent …

CT has been the central rallying point for K-12 computing education at least since the early
2010s. Many teachers, school administrators, and policymakers have joined the movement …

Our goal in this paper is to discover near duplicate patterns in large collections of artworks.
This is harder than standard instance mining due to differences in the artistic media (oil …

Iconography in art is the discipline that studies the visual content of artworks to determine
their motifs and themes and to characterize the way these are represented. It is a subject of …

Automatic art analysis has been mostly focused on classifying artworks into different artistic
styles. However, understanding an artistic representation involves more complex processes …