A recent survey conducted by researchers from Croatia, published in the International Journal of Student Project Reporting, delves into the utilization of artificial intelligence (AI) in the realm of art. Andrej Šimić and Marina Bagić Babac from the University of Zagreb’s Faculty of Electrical Engineering and Computing have examined various research papers in this field to understand the techniques, methodologies, and implications of AI in art classification and creation.
The study highlights two main applications of AI in the art world: automated analysis of existing artworks and generation of new ones. AI-powered art classification involves leveraging machine learning algorithms, such as convolutional neural networks (CNNs), to categorize artworks based on attributes like genre, style, and artist. This automated classification enhances the accuracy and efficiency of identifying and categorizing artworks, benefiting art historians and collectors.
In terms of art creation, innovative AI-driven techniques like style transfer, Generative Adversarial Networks (GANs), and text-to-image synthesis are explored. Style transfer enables the reinterpretation of images in different artistic styles, fostering creative exploration. GANs, on the other hand, use two neural networks to create realistic and intricate artworks with a high level of realism. Text-to-image synthesis allows the AI to generate images based on user prompts, translating ideas into visual forms seamlessly.
The integration of AI in art has far-reaching implications. It democratizes access to art historical research, enhances art authentication and valuation, and provides artists with new tools and sources of inspiration. However, the capability of AI to generate art raises questions about authorship, originality, and traditional concepts of creativity. Issues surrounding copyright, permissions, and plagiarism are ongoing debates in the art community.
Overall, the study sheds light on the significant role of AI in art classification and creation, paving the way for new possibilities and challenges in the intersection of technology and artistry. For more information, refer to the research paper titled “Artificial intelligence in classifying and creating art: a survey” published in the International Journal of Student Project Reporting.
