Acceso abierto

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
Buscar este autor en
Sciendo|Google Scholar
Zhang, Hongbo
  
27 feb 2025
Application of Chinese Painting Techniques in Modern Hand-painted Renderings in Information Age's Cover Image
Acerca de este artículo
Artículo anterior
Artículo siguiente
Cite
Descargar portada
Publicado en línea: 27 feb 2025
Recibido: 13 oct 2024
Aceptado: 26 ene 2025
DOI: https://doi.org/10.2478/amns-2025-0114
Palabras clave
© 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
Idioma:
Inglés
Calendario de la edición:
1 veces al año
Temas de la revista:
Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
RSS Feed de revista