Research on AIGC empowering digital cultural and creative design style transfer and diversified generation methods DOI Open Access

Ran Jia

Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract The development of artificial intelligence brings new opportunities and challenges to the field artistic creation. This paper fully analyzes characteristics advantages AIGC-enabled cultural creative design, selects CycleGAN algorithm among AI algorithms carry out design style migration processing. original has been improved construct AIGC model based on CycleGAN. Take Forbidden City creations as an example experiments, explore effect this paper’s creation image generation from objective evaluation subjective CycleGAN-based model. In experiments converting images into cartoon style, oil painting Chinese PSNR value, MS-SSIM value Per-pixel acc are all largest comparison models, MSE is smallest which achieves optimal results. evaluation, in a comprehensive score 89.22, excellent for products.

Язык: Английский

FFSWOAFuse: Multi-modal medical image fusion via fermatean fuzzy set and whale optimization algorithm DOI
Maruturi Haribabu, Velmathi Guruviah

Computers in Biology and Medicine, Год журнала: 2025, Номер 189, С. 109889 - 109889

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

Research on AIGC empowering digital cultural and creative design style transfer and diversified generation methods DOI Open Access

Ran Jia

Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract The development of artificial intelligence brings new opportunities and challenges to the field artistic creation. This paper fully analyzes characteristics advantages AIGC-enabled cultural creative design, selects CycleGAN algorithm among AI algorithms carry out design style migration processing. original has been improved construct AIGC model based on CycleGAN. Take Forbidden City creations as an example experiments, explore effect this paper’s creation image generation from objective evaluation subjective CycleGAN-based model. In experiments converting images into cartoon style, oil painting Chinese PSNR value, MS-SSIM value Per-pixel acc are all largest comparison models, MSE is smallest which achieves optimal results. evaluation, in a comprehensive score 89.22, excellent for products.

Язык: Английский

Процитировано

0