earticle

논문검색

Culture Convergence (CC)

Research on the Use of AI for Digitalization and Dissemination of Traditional Chinese Art Patterns

원문정보

초록

영어

Exploring the digital expression and dissemination of traditional art patterns through artificial intelligence digital technology promotes the creative transformation and innovative development of excellent traditional Chinese culture.This paper investigates the digital expression and dissemination of traditional art patterns via artificial intelligence (AI), aiming at the creative transformation and innovative development of Chinese traditional culture. It examines traditional art pattern design methods through the lens of AI, proposing a smart innovative design framework that embodies traditional characteristics. The study explores dataset construction, intelligent generation, and human-computer interaction design processes, comparing traditional and modern mechanisms of art pattern expression and transmission. By reflecting on technological innovation in collecting and applying traditional decorative patterns, this research enhances user engagement and participation. The findings provide a reference for preserving China's rich artistic cultural resources and for advancing the digital cultural creative industries.

목차

Abstract
1. Introduction
1.1 Overview of Development
2. The Feasibility of Artificial Intelligence in Conservation and Innovative Design
3. From the perspective of Artificial Intelligence, &quat;Digital&quat; Application Scenarios of Traditional Pattern Design
3.1 Experiment Design and Implementation
3.2 From the Perspective of Artificial Intelligence, &quat;Digital&quat; Expression and Communication Path of Traditional Pattern Design
3.3 Analysis of test Results of artificial intelligence-assisted traditional Chinese pattern drawing
4. Existing limitations and Solutionse
5. Conclusion
References

저자정보

  • Chen Xi Doctor, Dept. of Multimedia, Gradute School of Digital Image and Contents Dongguk University, Korea
  • Jeanhun Chung Professor, Dept. of Multimedia, Gradute School of Digital Image and Contents Dongguk University, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.