Understanding and creating art with AI: Review and outlook
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 …
research and creative practices in visual arts. The growing number of research initiatives …
Artificial neural networks and deep learning in the visual arts: A review
I Santos, L Castro, N Rodriguez-Fernandez… - Neural Computing and …, 2021 - Springer
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 …
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …
Deep learning approaches to pattern extraction and recognition in paintings and drawings: An overview
G Castellano, G Vessio - Neural Computing and Applications, 2021 - Springer
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 …
pattern extraction and recognition in visual arts, particularly painting and drawing. Recent …
[HTML][HTML] Leveraging knowledge graphs and deep learning for automatic art analysis
G Castellano, V Digeno, G Sansaro, G Vessio - Knowledge-Based Systems, 2022 - Elsevier
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 …
opportunities to develop intelligent systems for the automatic analysis of fine arts. Among …
A dataset and a convolutional model for iconography classification in paintings
F Milani, P Fraternali - Journal on Computing and Cultural Heritage …, 2021 - dl.acm.org
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 …
their motifs and themes and to characterize the way these are represented. It is a subject of …
A comprehensive survey on object detection in Visual Art: taxonomy and challenge
Cultural heritage data plays a key role in the understanding of past human history and
culture, enriches the present and prepares the future. A wealth of information is buried in …
culture, enriches the present and prepares the future. A wealth of information is buried in …
Towards generating and evaluating iconographic image captions of artworks
E Cetinic - Journal of imaging, 2021 - mdpi.com
To automatically generate accurate and meaningful textual descriptions of images is an
ongoing research challenge. Recently, a lot of progress has been made by adopting …
ongoing research challenge. Recently, a lot of progress has been made by adopting …
Label placement challenges in city wayfinding map production—Identification and possible solutions
Map label placement is an important task in map production, which needs to be automated
since it is tedious and requires a significant amount of manual work. In this paper, we identify …
since it is tedious and requires a significant amount of manual work. In this paper, we identify …
A comprehensive survey on computational aesthetic evaluation of visual art images: Metrics and challenges
J Zhang, Y Miao, J Yu - IEEE Access, 2021 - ieeexplore.ieee.org
Computational image aesthetic evaluation is a computable human aesthetic perception and
judgment realized by machines, which has a significant impact on a variety of applications …
judgment realized by machines, which has a significant impact on a variety of applications …
Learning the principles of art history with convolutional neural networks
Understanding the historical transformation of artistic styles implies the recognition of
different stylistic properties. From a computer vision perspective, stylistic properties …
different stylistic properties. From a computer vision perspective, stylistic properties …