Understanding and creating art with AI: Review and outlook

E Cetinic, J She - ACM Transactions on Multimedia Computing …, 2022 - dl.acm.org
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 …

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 …

Recognizing image style

S Karayev, M Trentacoste, H Han, A Agarwala… - arXiv preprint arXiv …, 2013 - arxiv.org
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 …

Fine-tuning convolutional neural networks for fine art classification

E Cetinic, T Lipic, S Grgic - Expert Systems with Applications, 2018 - Elsevier
The increasing availability of large digitized fine art collections opens new research
perspectives in the intersection of artificial intelligence and art history. Motivated by the …

Ceci n'est pas une pipe: A deep convolutional network for fine-art paintings classification

WR Tan, CS Chan, HE Aguirre… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
“Ceci n'est pas une pipe” French for “This is not a pipe”. This is the description painted on
the first painting in the figure above. But to most of us, how could this painting is not a pipe …

[图书][B] How art works: A psychological exploration

E Winner - 2019 - books.google.com
There is no end of talk and of wondering about'art'and'the arts.'This book examines a
number of questions about the arts (broadly defined to include all of the arts). Some of these …

The shape of art history in the eyes of the machine

A Elgammal, B Liu, D Kim, M Elhoseiny… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
How does the machine classify styles in art? And how does it relate to art historians'
methods for analyzing style? Several studies showed the ability of the machine to learn and …

Towards artistic image aesthetics assessment: a large-scale dataset and a new method

R Yi, H Tian, Z Gu, YK Lai… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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 …

[HTML][HTML] Reuniting orphaned cargoes: Recovering cultural knowledge from salvaged and dispersed underwater cultural heritage in Southeast Asia

M Polkinghorne, N Pearson, W van Duivenvoorde… - Marine Policy, 2024 - Elsevier
Abstract Southeast Asia, with Indonesia at its core, was the epicentre of the most
extraordinary expansion of global trade ever witnessed along the Maritime Silk Route. But …

Two-stage deep learning approach to the classification of fine-art paintings

C Sandoval, E Pirogova, M Lech - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the digitization of fine art collections, pictures of fine art objects stored at museums
and art galleries became widely available to the public. It created a demand for efficient …