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Paper on Automatic Generation of Traditional Patterns and Aesthetic Quality Evaluation Technology published in Information Technology and Management

A paper titled “Automatic Generation of Traditional Patterns and Aesthetic Quality Evaluation Technology,” written by Professor Kymn Kyungsun and doctorate candidate Mu Ye at the Department of Design was published in Volume 22, Issue 4 of the Information Technology and Management, an SSCI journal published by Baltzer Science Publishers.

​This paper presented the design and realization of the automatic generation of traditional patterns based on a confrontation network to evaluate the quality of traditional patterns and aesthetic evaluation. This study developed an intelligent strategy to address the bottleneck in the designs of traditional patterns. Through such findings, this study expected further research on new approaches for digital image quality evaluation.

written by ICRC
December 1, 2022