Design of an Intelligent Algorithm for Rural Antique Ceramic Bottom Pattern

Abstract

The style of ancient ceramics has always been one of the most important factors affecting the sales of antique ceramic products. Although it has certain rules, due to the complexity of current product design and the limitations of designers in the design process, intelligent algorithms are needed to assist in design. In response to the diversity of intelligent design solutions for antique ceramic products, this paper proposes a research method for antique ceramic product design based on AGCGAN. Combining with the universal links in the process of intelligent product design, a generative adversarial network is used to learn the rules of excellent product design samples, and the generator generation scheme is obtained. Then, through the constructed design scheme filter, the generation scheme is filtered according to the requirements, and a design scheme generation system with certain reference value is constructed.