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 …

Computer applications have considerably shifted from single data processing to machine
learning in recent years due to the accessibility and availability of massive volumes of data …

Detecting objects and estimating their viewpoints in images are key tasks of 3D scene
understanding. Recent approaches have achieved excellent results on very large …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

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 …

Abstract The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved
since basic statistical approaches such as Linear Regression to complex Deep Learning …

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 …

While large text-to-image models are able to synthesize" novel" images, these images are
necessarily a reflection of the training data. The problem of data attribution in such models …

The growing availability of large collections of digitized artworks has disclosed new
opportunities to develop intelligent systems for the automatic analysis of fine arts. Among …

This paper considers the generic problem of dense alignment between two images, whether
they be two frames of a video, two widely different views of a scene, two paintings depicting …