首页|Qiongtai Normal University Researcher Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture

Qiongtai Normal University Researcher Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture

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2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news originating from Haikou, People’s Republic of China, by NewsRx editors, the research stated, “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.” Our news reporters obtained a quote from the research from Qiongtai Normal University: “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.”

Qiongtai Normal UniversityHaikouPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesFuzzy LogicLeisureMachine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.2)