Abstract This paper takes the integration development path of artificial intelligence technology and clothing design as the entry point, analyzes the influence of arts and crafts culture on clothing design, and gives the correlation between artificial intelligence, clothing design and arts and crafts culture. In order to make the style and color of clothing design more diversified, Fuzzy C-means is used to extract the color of the elements of arts and crafts culture, and adaptive optimization is used to compensate for the chromaticity of the color through artificial intelligence technology. A texture generation network is constructed based on the generative adversarial network to obtain the shape and texture style of the images of arts and crafts cultural elements in apparel design. To verify the effectiveness of the above method in spreading apparel design and arts and crafts culture, experimental validation analysis was conducted. The results show that the Fuzzy C-means algorithm improves PSNR by an average of 1.094 dB and SSIM by between 1.1% and 2.5% compared with the SVD-Means feature color extraction algorithm. The error before and after the adaptive optimization color compensation of artificial intelligence technology is only about 0.2%, and the MSE value of the texture generation network is between [1.5*10-3,3*10-3], and the error of its image generation quality is not more than 1‰. Based on artificial intelligence technology, it can fully obtain the elemental patterns and colors of arts and crafts culture and then innovate the style and shape of clothing design, which can also promote the dissemination and development of arts and crafts culture.
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