Artificial intelligence in classifying and creating art: a survey Online publication date: Fri, 12-Apr-2024
by Andrej Šimić; Marina Bagić Babac
International Journal of Student Project Reporting (IJSPR), Vol. 2, No. 1, 2024
Abstract: The survey investigates research papers on AI-based art classification and creation, analysing their methodologies and outcomes. Categorising the papers by focus areas, such as genre, style, and artist classification, the study assesses the techniques and accuracy achieved. Additionally, it explores art creation techniques, including style transfer, GAN-based image creation, and text-to-image synthesis. This survey stands out by offering a comprehensive overview of AI-based art research, highlighting the originality of approaches and methodologies used in these papers. It showcases the innovative use of AI algorithms and data processing techniques in the art domain. The findings reveal two primary applications of AI in art: automated art analysis for categorisation and the generation of new artwork. AI aids art historians and collectors in identifying artworks based on artist, style, or genre. Moreover, it assists artists in the creative process by inspiring them and generating novel ideas through art creation.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Student Project Reporting (IJSPR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook