Simulation and Visualization of Waste Denim Clothing in Patchwork Art Based on Artificial Intelligence Technology

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Jinlong Yuan, Haiyan Fang


The advent of artificial intelligence (AI) technology has revolutionised various industries, including the fashion and art sectors. This paper explores the integration of AI techniques in the simulation and visualisation of waste denim clothing in patchwork art. Waste denim, a byproduct of the fashion industry, poses environmental challenges due to its non-biodegradable nature. By employing AI algorithms such as machine learning and computer vision, coupled with advanced simulation and visualization techniques, this study aims to propose innovative solutions for repurposing waste denim into aesthetically appealing patchwork art. The proposed methodology involves the collection of waste denim data, preprocessing through image recognition algorithms, and generation of artistic patterns using AI-driven design frameworks. Additionally, virtual reality (VR) and augmented reality (AR) technologies are utilized for immersive visualization of the proposed patchwork designs, providing artists and designers with interactive tools for creative exploration. Through this interdisciplinary approach, the study not only addresses environmental concerns associated with textile waste but also fosters creativity and sustainability in the realm of contemporary art and fashion.

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