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Application of Chinese Painting Techniques in Modern Hand-painted Renderings in Information Age

Hongbo Zhang

Hongbo Zhang

College of Art Zhengzhou University of Science and TechnologyZhengzhou, China
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Zhang, Hongbo
  
27 lut 2025
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Data publikacji: 27 lut 2025
Otrzymano: 13 paź 2024
Przyjęty: 26 sty 2025
DOI: https://doi.org/10.2478/amns-2025-0114
Słowa kluczowe
© 2025 Hongbo Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Network framework for generating original Chinese painting techniques
Network framework for generating original Chinese painting techniques

Figure 2.

Double-branch convolutional neural network framework
Double-branch convolutional neural network framework

Figure 3.

Loss function
Loss function

Figure 4.

Distribution of image pixel values in different intervals
Distribution of image pixel values in different intervals

Figure 5.

Comparison of experimental results of different model variants with or without attention mechanism modules
Comparison of experimental results of different model variants with or without attention mechanism modules

Figure 6.

Comparison of experimental results of different model variants with or without network fine- tuning
Comparison of experimental results of different model variants with or without network fine- tuning

Figure 7.

Comparison of results on dataset
Comparison of results on dataset

Figure 8.

Comparison results of different methods on data sets
Comparison results of different methods on data sets

Figure 9.

Results of similarity between training number and self-topology
Results of similarity between training number and self-topology

Figure 10.

Extraction result by improved K-segment algorithm
Extraction result by improved K-segment algorithm

Figure 11.

Comparison of time taken by extraction algorithm
Comparison of time taken by extraction algorithm

Evaluation indicators of decision tree model

Pix2Pix ResGAN Ours
FID 66.41 83.06 50.13
IS 2.43 2.16 3.06

Comparison of different networks

Unet + Unet Res + Res Unet + Res Res + Unet
FID 54.87 61.43 58.68 50.13
IS 2.99 2.44 2.40 3.06
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne
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