Application and Practice of 2D Animation in Chinese Traditional Elements Based on Deep Learning Model

Author:

Zhang Xiao1,Xu Jinhua1,Yang Wei2ORCID

Affiliation:

1. Convergence Design, Hanseo University, Seosan 31962, Republic of Korea

2. School of Digital Creativity and Animation, Shenzhen PolyTechnic, Shenzhen 518000, China

Abstract

With the progress and development of science and technology, the development of the animation industry is also rapidly accelerating. The animation industry has an inseparable relationship with the development of computers. Chinese animation originated in the 1920s. Although after so many years of precipitation, there have been some excellent animation works rich in national characteristics and national culture in China, but Chinese animation still lacks professional talents and has a poor creative environment. The problem cannot leave a deep impact on people. China has a long history. How to perfectly combine traditional Chinese elements with animation production and develop our own national characteristics through animation is a problem we have to consider. The article introduces the background of animation development, describes how to combine traditional Chinese elements with animation production, and solves the problems of rough picture quality and high collision rate in animation production. The research results of the article show the following: (1) the detail roughness of the 7 traditional element animation scenes of the 2D animation system proposed in the article has been kept below 2%, and the image quality clarity is higher than 99%, which is the performance of the 3 systems. The highest one can also show that the system proposed in the article has the best control effect for different animation scene details. The 2D animation system proposed in the article presents a steady trend of fluctuations in the dynamic light and shadow of the scene details of the 7 traditional element animations, with good detail connectivity, and the system proposed in the article occupies the least memory and has the highest stability. (2) The waiting time of the 2D animation system is the lowest among the three systems. Only in a few cases, it needs to wait for 1 s, and the rest of the animation scenes are not delayed. The dynamic animation interaction system and the real-time character animation system have poor real-time operation , and there is a certain delay. The number of collisions of the 2D animation system is the least, almost negligible. Both the dynamic animation interaction system and the real-time character animation system have a certain degree of collision. The distortion rate of the 2D animation system is generally low and will not increase with the number of experiments. However, the other two systems have higher animation distortion rates, which cannot meet the needs of animation production.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference25 articles.

1. “Shape-spirit” and “Implication-Image”-elements of traditional Chinese painting in animation design;X. C. Zhang;Journal of Suzhou College of Education,2008

2. Discussing on the Traditional Chinese Elements and Animation Design;X. Gao

3. Chinese animation industry should draw nutrition from traditional Chinese culture;H. Bo;Journal of Hebei Normal University of Science&Technology,2011

4. The Use of 2D Animation Image in Peking Opera;Y. C. Liu;Journal of Guiyang University (Social Sciences),2015

5. Web-based interactive animation for children's safety education: from 2D to 3D;Z. Liu;Advances in Intelligent Systems and Computing,2012

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Capturing of Facial Expression and 3D Animation Generation based on Generative Adversarial Network;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3