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

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Abstract

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.

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Authors and Affiliations

  1. School of Design, Sangmyung University, Cheonan, 31066, Korea

    Shuangshuang Chen

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  1. Shuangshuang Chen
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Correspondence to Shuangshuang Chen.

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Communicated by Mu-Yen Chen.

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Chen, S. Exploration of artistic creation of Chinese ink style painting based on deep learning framework and convolutional neural network model. Soft Comput 24, 7873–7884 (2020). https://doi.org/10.1007/s00500-019-03985-6

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