Vol. 1 No. 3 (2026), Articles
Vol. 1 No. 3 (2026)

IMAGE GENERATION METHODS BASED ON NEURAL NETWORKS IN DIGITAL ART AND GRAPHIC DESIGN

Articles
Published 2026-03-28
Ozoda Yalg’osheva
Muhammad Al-Khwarizmi University of Information Technology Tashkent Computer graphics and design direction Master's student of group 501-25
Kamoliddin Ismailov
PhD, Associate Professor, Department of "Television and Media Technologies", TUIT.
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Keywords

digital art, graphic design, artificial intelligence, neural networks, image generation, generative models, creative technologies, diffusion models.

How to Cite

Yalg’osheva , O., & Ismailov , K. (2026). IMAGE GENERATION METHODS BASED ON NEURAL NETWORKS IN DIGITAL ART AND GRAPHIC DESIGN. WORLD INTERNATIONAL CONFERENCE ON SCIENCE, TECHNOLOGY AND EDUCATION, 1(3), 198-202. https://doi.org/10.5281/zenodo.19294854
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Abstract

This article highlights the significance and practical application of image generation methods based on neural networks in digital art and graphic design. With the advancement of artificial intelligence technologies, the image creation process has evolved significantly. Neural networks have enabled the rapid creation of complex graphic compositions, the fusion of diverse artistic styles, and the generation of entirely new visual forms. The article analyzes the operational principles of these technologies, their impact on the design process, and their future development prospects.

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References

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