Neural networks for creating digital works of art: art through the eyes of algorithms

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Neural networks for creating digital works of art: art through the eyes of algorithms

Journal Title: Modern Innovations, Systems and Technologies - Year 2024, Vol 4, Issue 4

Abstract

In this article, the authors first describe the main effective methods of training neural networks to generate video and photographic materials. Next comes a detailed analysis of the most pressing problems related to the process of neural networks and their solutions. In conclusion, the whole analysis is summarized and the importance of the need to solve problems related to generative artificial intelligence is highlighted.

Authors and Affiliations

Gleb V. Konnikov, A. A. Kovtun

Keywords

neural networks generative-adversarial networks diffusion models autoencoders generator discriminator GAN architecture noise encoder decoder problems solutions copyright deepfakes generation accuracy queries legislation batch normalization dropout.

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EP ID EP755360
DOI 10.47813/2782-2818-2024-4-4-0141-0156
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