Artificial neural networks and deep learning in the visual arts: A review
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 …
Two-stage deep learning approach to the classification of fine-art paintings
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 …
and art galleries became widely available to the public. It created a demand for efficient …
[PDF][PDF] Computational aesthetics of fine art paintings: The state of the art and outlook
Fine art painting is an essential component of art. The computational aesthetics of fine art
painting is a computable human aesthetic process realized by machines, which has …
painting is a computable human aesthetic process realized by machines, which has …
Classification of basic artistic media based on a deep convolutional approach
H Yang, K Min - The Visual Computer, 2020 - Springer
Artistic media play an important role in recognizing and classifying artworks in many artwork
classification works and public artwork databases. We employ deep CNN structure to …
classification works and public artwork databases. We employ deep CNN structure to …
Classification of style in fine-art paintings using transfer learning and weighted image patches
With the ongoing expansion of digitized artworks, the automated analysis and categorization
of fine art paintings have become a rapidly growing research field. However, due to the …
of fine art paintings have become a rapidly growing research field. However, due to the …
A framework for exploring churches/monuments/museums of byzantine cultural influence exploiting immersive technologies in real-time networked environments
The unique art that was developed in Byzantine times is widely accepted as a precursor to
the Renaissance and is still evident in monuments either from or influenced by the …
the Renaissance and is still evident in monuments either from or influenced by the …
Artistic Style Recognition: Combining Deep and Shallow Neural Networks for Painting Classification
This study's main goal is to create a useful software application for finding and classifying
fine art photos in museums and art galleries. There is an increasing need for tools to swiftly …
fine art photos in museums and art galleries. There is an increasing need for tools to swiftly …
Historical context-based style classification of painting images via label distribution learning
Analyzing and categorizing the style of visual art images, especially paintings, is gaining
popularity owing to its importance in understanding and appreciating the art. The evolution …
popularity owing to its importance in understanding and appreciating the art. The evolution …
Deep ensemble art style recognition
O Menis-Mastromichalakis, N Sofou… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
The massive digitization of artworks during the last decades created the need for
categorization, analysis, and management of huge amounts of data related to abstract …
categorization, analysis, and management of huge amounts of data related to abstract …
Adversarial learning approach to unsupervised labeling of fine art paintings
An automatic classification of fine art images is limited by the scarcity of high-quality labels
made by art experts. This study aims to provide meaningful automatic labeling of fine art …
made by art experts. This study aims to provide meaningful automatic labeling of fine art …