Automatic generation of traditional patterns and aesthetic quality evaluation technology

Yi Wu,Kymn Kyungsun

doi:10.1007/s10799-022-00356-w

Abstract

As an significant element for the continuation and development of modern design, conventional Chinese decorative patterns satisfy people's emotional dependence on nationality and tradition. At present, traditional patterns are designed mainly by professional designers. Due to the high dependence of the entire design process on labor, the design efficiency is untoward to improve to rapidly meet the explosive growth of business needs. However, a large amount of material data on the Internet and the development of artificial intelligence technology provides an opportunity to work out this development bottleneck. This paper mainly studies the design and implementation of the automatic generation of traditional pattern image layout based on the generation of confrontation network and aesthetic evaluation to score the quality of the generated traditional pattern image. And the scoring results are fed back to the traditional pattern layout generation network to improve the quality of the generated traditional pattern layout pictures so that the entire network structure can adapt to disparate scene requirements. The results show that the SSIM value of the structural similarity obtained by the image of the traditional pattern automatically generated by the model in this paper is larger and closer to 1 than the value of the SSIM obtained by other methods, indicating that the image of the traditional pattern automatically generated by the model has the highest aesthetic quality. Furthermore, the research provides assistance for intelligent technology to solve the development bottleneck of conventional pattern design. Finally, the future research of digital image quality evaluation approach is prospected.

Highlights

In recent years, with the in-depth application of network technology, computer technology and multimedia technology, the traditional pattern business represented by Internet patterns has achieved rapid growth, and its market position has improved day by day, becoming the main force driving the growth of the entire industry
This paper mainly studies the design and implementation of the automatic generation of traditional pattern image layout based on the generation of confrontation network and the use of aesthetic evaluation to score the quality of the generated traditional pattern image
The results show that the Structural Similarity (SSIM) value of the structure similarity obtained by the image of the traditional pattern automatically generated by the model in this paper is larger and closer to 1 than the value of the SSIM obtained by other methods, indicating that the image of the traditional pattern automatically generated by the model has the highest aesthetic quality

Summary

Introduction

With the in-depth application of network technology, computer technology and multimedia technology, the traditional pattern business represented by Internet patterns has achieved rapid growth, and its market position has improved day by day, becoming the main force driving the growth of the entire industry. The emergence of new technologies makes it possible to merge a variety of traditional patterns [1,2]. Customs, and religious beliefs have created different ethnic cultures and art forms, which have produced unique and diverse ethnic decorative element symbols [3,4]. Chinese traditional decorative patterns are cultural symbols of a nation, and embody the cultural connotation of a nation [5,6]. That there is a large amount of material data on the Internet and artificial intelligence technology has been rapidly developed, there is a new answer to the problem that the efficiency of traditional pattern design cannot meet the explosive growth of demand: the automatic generation of traditional patterns [7]

Methods

Results

Conclusion