The Implementation of Improved Convolutional Neural Network Model in Art Pattern Design

Abstract

In art design, the application of artificial intelligence (AI) enables designers' design inspiration and ideas to be better integrated into art works. Computer-aided design (CAD) model of art design needs rich professional knowledge, so in most cases, the classification work is mainly done by engineers. In this article, driven by AI, the application of deep learning (DL) algorithm in art pattern CAD design is studied, and an art pattern CAD design algorithm based on improved convolutional neural network (CNN) model is proposed, which enables users to further optimize the automatically synthesized images, make style learning more flexible and get richer art pattern design effects. In this process, attention needs to be paid to computer-aided art and design, establish correct conceptual awareness, effectively carry out various art and design activities, and promote the good development of the AI era. Results show that this method can not only learn the style characteristics of several art samples and realize hierarchical drawing, but also provide users with a simple and feasible way to design art patterns according to reference samples.