What question did this study set out to answer?

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

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.

Zhang et al. (2026) studied this question.

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