COMPARATIVE ANALYSIS OF GAN AND DIFFUSION MODELS FOR COMPUTER GRAPHICS OBJECT GENERATION

Mualliflar

  • Sh.Q.Shoyqulov Muallif

Abstrak

 This study compares Generative Adversarial Networks (GANs) and diffusion models for computer graphics object generation by evaluating image quality, generation accuracy, computational efficiency, and practical applicability. The results identify their strengths, limitations, and suitability for intelligent digital content creation.

Iqtiboslar

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Nashr qilingan

2026-06-30

Iqtibos keltirish tartibi

Shoyqulov, S. (2026). COMPARATIVE ANALYSIS OF GAN AND DIFFUSION MODELS FOR COMPUTER GRAPHICS OBJECT GENERATION. Yangi O’zbekiston Ilmiy Tadqiqotlar Jurnali, 3(6), 261-269. https://www.in-academy.uz/index.php/YOITJ/article/view/53935
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