Exploration of artistic creation of Chinese ink style painting based on deep learning framework and convolutional neural network model

被引:0
作者
Shuangshuang Chen
机构
[1] Sangmyung University,School of Design
来源
Soft Computing | 2020年 / 24卷
关键词
Deep learning; Convolutional neural network; Ink style rendering;
D O I
暂无
中图分类号
学科分类号
摘要
For the purpose of applying information technology to the creation of ink style painting, the algorithm of ink painting rendering based on the deep learning framework and convolutional neural network model is designed and improved. Firstly, the ink style rendering program is written in Python. Secondly, VGG under Caffe architecture and Illustration 2Vec models are transplanted to TensorFlow architecture, and the image is rendered in ink style based on deep learning framework and convolutional neural network model. Finally, based on Node.js, the server-side program for image ink style rendering is built. Among them, Express is adopted as the Web-side framework, and the front-end page effect is completed. The results show that the ink rendering logic program is applicable, and the expected purpose is achieved.
引用
收藏
页码:7873 / 7884
页数:11
相关论文
共 50 条
  • [21] Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework
    Dong, Xin
    Zhou, Yizhao
    Wang, Lantian
    Peng, Jingfeng
    Lou, Yanbo
    Fan, Yiqun
    IEEE ACCESS, 2020, 8 (08): : 129889 - 129898
  • [22] A New Deep Learning Model for the Classification of Poisonous and Edible Mushrooms Based on Improved AlexNet Convolutional Neural Network
    Ketwongsa, Wacharaphol
    Boonlue, Sophon
    Kokaew, Urachart
    APPLIED SCIENCES-BASEL, 2022, 12 (07):
  • [23] Automatic detection model of hypertrophic cardiomyopathy based on deep convolutional neural network
    Bu Y.
    Cha X.
    Zhu J.
    Su Y.
    Lai D.
    Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 2022, 39 (02): : 285 - 292
  • [24] An ensemble learning framework for convolutional neural network based on multiple classifiers
    Yanyan Guo
    Xin Wang
    Pengcheng Xiao
    Xinzheng Xu
    Soft Computing, 2020, 24 : 3727 - 3735
  • [25] Deep Learning Based Computer Generated Face Identification Using Convolutional Neural Network
    Dang, L. Minh
    Hassan, Syed Ibrahim
    Im, Suhyeon
    Lee, Jaecheol
    Lee, Sujin
    Moon, Hyeonjoon
    APPLIED SCIENCES-BASEL, 2018, 8 (12):
  • [26] A deep learning framework for time series classification using Relative Position Matrix and Convolutional Neural Network
    Chen, Wei
    Shi, Ke
    NEUROCOMPUTING, 2019, 359 : 384 - 394
  • [27] Intrusion Detection in IoT Systems Based on Deep Learning Using Convolutional Neural Network
    Pham Van Huong
    Le Duc Thuan
    Le Thi Hong Van
    Dang Viet Hung
    PROCEEDINGS OF 2019 6TH NATIONAL FOUNDATION FOR SCIENCE AND TECHNOLOGY DEVELOPMENT (NAFOSTED) CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS), 2019, : 448 - 453
  • [28] An ensemble learning framework for convolutional neural network based on multiple classifiers
    Guo, Yanyan
    Wang, Xin
    Xiao, Pengcheng
    Xu, Xinzheng
    SOFT COMPUTING, 2020, 24 (05) : 3727 - 3735
  • [29] Convolutional neural network: Deep learning-based classification of building quality problems
    Zhong, Botao
    Xing, Xuejiao
    Love, Peter
    Wang, Xu
    Luo, Hanbin
    ADVANCED ENGINEERING INFORMATICS, 2019, 40 : 46 - 57
  • [30] Deep learning-based convolutional neural network for intramodality brain MRI synthesis
    Osman, Alexander F., I
    Tamam, Nissren M.
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (04):