NEURAL NETWORKS AS A TOOL OF A PHOTO ARTIST: CURRENT STATE AND THE PROSPECTS FOR THE DEVELOPMENT
DOI:
https://doi.org/10.32782/2415-8151.2024.32.18Keywords:
artificial intelligence, neural networks, visual art, photography, photo artist, ai artistAbstract
The purpose of the research is a comprehensive theoretical study and systematization of the directions of the using neural network and technologies of artificial intelligence in the art of photography, and definition of prospects of futher development and implementation of this tool in the profession of a photo artist Methodology. Testing and comprehensive comparative analysis of the capabilities of modern computer programs that use neurotechnology. A systematic analysis and generalization of scientific sources related to the research topic The results. The possibilities of artificial intelligence as s a means to create a photographic image of a commercial, mass and artistic nature have been studied. The existing variety of programs that use artificial intelligence are conditionally divided into those that provide technical assistance in photo processing, and those that are aimed at creating unique images generated with using a textual query, an original image, or their combination. An assessment of the capabilities of the most popular programs of each type are provided. Based on their careful analysis, the prospects for the development of photography genres are determined, and the issue of copyright for visual works created in collaboration between a photo artist and an artificial intelligence program are considered. The scientific novelty of the article consists in the introduction into scientific circulation of the concept of the typology of programs that use the means of artificial intelligence in visual art, the determination of ways of development of the genres of artistic photography and photography in general, partially or completely created with the help of the artificial intelligence Practical significance of the work is determined by the possibilities of using the results of the research in the formation of a holistic picture of the capabilities of the software tools and programms based on the artificial intelligence technologies in the profession of a photo artist
References
Волинець, В. Вплив штучного інтелекту на сучасне мистецтво: можливості та виклики. Цифрова платформа: інформаційні технології в соціокультурній сфері. 2023. №6 (1). P. 21–31. DOI 10.31866/2617-796X.6.1.2023.283933
Зінченко А. Використання штучного інтелекту в освітній та науковій діяльності: можливості та виклики. Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems. 2024. Vol. 70, P. 45–57. DOI 10.31652/2412-1142-2023-70-45-57
Колісник О. В., Михайлова Р. Д., Береговий О. С., Власюк В. В., Куровська Д .В. Нейромережа Midjorney як інструмент для генерування дизайн графіки. Art and design. 2023. №1(21). С. 106–115.
Нельсон Д. Що таке Generative Adversarial Network (GAN)? (2020) URL: https://www.unite.ai/uk/what-is-a-generative-adversarial-network-gan/
Чібалашвілі А. Штучний інтелект у мистецьких практиках. Сучасне мистецтво, [e-journal]. 2021. 17, С. 41–50. DOI 10.31500/2309-8813.17.2021.248425.
Шашенко С. Переваги залучення штучного інтелекту для оптимізації дизайнерських процесів у сфері медіа. Український інформаційний простір. 2023. № 1(11). C.163–174. DOI 10.31866/2616-7948.1(11).2023.279625.
Bannikova, K., Fryz P., Voronova N., Bondarenko A., Bilozub L. Digital transformations in culture and art: new opportunities and challenges. Amazonia Investiga. 2023. №12(61), Р. 348–358. DOI 10.34069/AI/2023.61.01.35.
Derevyanko N., Zalevska O. Comparative analysis of neural networks Midjourney, Stable Diffusion, and DALL-E and ways of their implementation in the educational process of students of design specialities. Scientific Bulletin of Mukachevo State University. Series «Pedagogy and Psychology». 2023. № 9(3). P. 36-44. DOI: 10.52534/msupp3.2023.36.
Cetinic E., She J. Understanding and Creating Art with AI: Review and Outlook. ACM Trans. Multimedia Comput. Commun. Appl. 2022. 18, 2, Article 66 DOI 10.1145/3475799.
Fatima N. AI in Photography: Scrutinizing Implementation of Super-Resolution Techniques in Photo-Editors. 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), Wellington, New Zealand. 2020. P. 1–6, DOI: 10.1109/IVCNZ51579.2020.9290737.
Flynn Meagan (26 October 2018). A 19-yearold developed the code for the AI portrait that sold for $432,000 at Christie’s. The Washington Post. Retrieved 2 November 2018. URL: https://www.washingtonpost.com/nation/2018/10/26/year-old-developed-code-aiportrait-that-sold-christies/.
Grant Scott. Is AI the end of stock photography? 15.05.2023 Retrieved from: https://unitednationsofphotography.com/2023/05/15/is-ai-theend-of-stock-photography/.
Greenfield G. When the machine made art: the troubled history of computer art, by Grant D. Taylor. Journal of Mathematics and the Arts. 2013. № 9 (1–2), P. 44–47. ISSN 1751-3472. DOI: 10.1080/17513472.2015.1009865.
Göring S., Ramachandra R., Merten R., Raake A. Analysis of Appeal for Realistic AI-Generated Photos. IEEE Access. 2023. vol. 11, P. 38999–39012. DOI: 10.1109/ACCESS.2023.3267968.
Gülaçti İ. E., KAHRAMAN, M. E. The Impact of Artificial Intelligence on Photography and Painting in the Post-Truth Era and the Issues of Creativity and Authorship. Medeniyet Sanat Dergisi. 2021. № 7(2), P. 243–270. DOI 10.46641/medeniyetsanat.994950P.
Kieran Browne; Who (or What) Is an AI Artist? Leonardo. 2022. № 55 (2). P. 130–134. DOI 10.1162/leon_a_02092.
Liu B. Arguments for the Rise of Artificial Intelligence Art: Does AI Art Have Creativity, Motivation, Self-awareness and Emotion? Arte.2023. Vol. 35. P. 811–822. DOI 10.5209/aris.83808.
Mondal S., Das S., Vrana V. G. How to Bell the Cat? A Theoretical Review of Generative Artificial Intelligence towards Digital Disruption in All Walks of Life. Technologies. 2023. 11. 44. https://doi.org/10.3390/technologies11020044.
W. Harsanto, Prayanto and W. Jakti, Jalung. Post-Photography: The Disruption Effect of Artificial Intelligence on Photography for Product Advertising. Information Sciences Letters. 2023. Vol. 12: Iss. 9, P. 2141–2151. https://digitalcommons.aaru.edu.jo/isl/vol12/iss9/21.
Rezk Sara Mohammed Mamdouh. The Role of Artificial Intelligence in Graphic Design. Journal of Art, Design and Music. 2023. Vol. 2 : Iss. 1, P. 1–13 DOI 10.55554/2785-9649.1005.
Schröter J. The Laocoon Moment. Arts. 2023. 12(4). 175. DOI 10.3390/arts12040175.
Shen Yan, Yu Fang. The Influence of Artificial Intelligence on Art Design in the Digital Age. Scientific Programming. 2021. 1–10. DOI 10.1155/2021/4838957.
Wong M., Ong Y.S., Gupta A., Bali K.K., Chen C. Prompt Evolution for Generative AI: A Classifier-Guided Approach. IEEE Conference on Artificial Intelligence (CAI). 2023. DOI 10.1109/CAI54212.2023.00105.
Wang H. Authorship of Artificial Intelligence-Generated Works and Possible System Improvement in China. Beijing Law Review. 2023. № 14. P. 901–912. DOI: 10.4236/blr.2023.142049
