Combining AIGC and Virtual Simulation Technology to Enhance Personalization of Jewelry Design
DOI:
https://doi.org/10.70917/ijcisim-2026-0074Keywords:
genetic algorithm; user preference; jewelry design; three-dimensional design; KANO modelAbstract
Empowered by emerging technologies such as 5G, big data, cloud computing, artificial intelligence is developing rapidly, and its application has received widespread attention from various industries. Empowering design, such as jewelry design, through AIGC can improve efficiency, expand creativity, and promote the innovative development of the jewelry design profession. The study firstly imports the data into 3DMax software to complete the construction of the jewelry 3D model, and in the process of model construction, Photoshop and Lidar point cloud computing are used to control the model's color matching and height distance. Based on the genetic algorithm, an interactive genetic algorithm based on user preference model is proposed. After adding the group preference information, the preference dominance relationship of the current user changes only slightly, indicating that this algorithm still focuses on user preference, which is conducive to the rapid tracking of user preference when it changes. Through the method of user research, the KANO model is used to grade the attributes of functional requirements, and design innovations are proposed.
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Copyright (c) 2026 Tingting Ma, Yodkwan Sawadee

This work is licensed under a Creative Commons Attribution 4.0 International License.