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This study aims to enhance art and design through AI optimization techniques by focusing on style transfer, composition, and color matching.

Art Design Optimization Using Artificial Intelligence Algorithms

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This study aims to enhance art and design through AI optimization techniques by focusing on style transfer, composition, and color matching.
Constructed a hybrid optimization framework integrating AI technologies to improve design outcome.
Incorporated user preferences and aesthetic principles with multidimensional evaluation metrics.
Evaluated performance using experimental metrics comparing AI-enhanced designs to traditional models.
Style consistency improved with SSIM metric increase of 12.7%.
Composition rationality reformulated resulting in an 18.3% increase in F-score.
Color harmony was enhanced, as indicated by a 23.5% decrease in Δ E * ab value.

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Randomized trial explores AI-driven design improvements in art, suggesting significant advancements over traditional methods.

Zhang et al. (2026) studied this question.

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