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Sheng, J., Song, C., Wang, J., & Han, Y. (2019). Convolutional neural network style transfer towards chinese paintings. IEEE Access, PP(99), 1–1.Search in Google Scholar
Zhang, J., Zhou, Y., Xia, K., Jiang, Y., & Liu, Y. (2020). A novel automatic image segmentation method for chinese literati paintings using multi-view fuzzy clustering technology. Multimedia Systems, 26(1), 37–51.Search in Google Scholar
Zhen-Bao, F., Yi-Na, L., Kang, Z., Jinhui, Y., & Lin, H. M. (2021). Measuring and evaluating the visual complexity of chinese ink paintings. The Computer Journal(8), 8.Search in Google Scholar
Yang, L., Xu, T., Du, J., & Wu, E. (2019). Easy drawing: generation of artistic chinese flower painting by stroke-based stylization. IEEE Access, 7, 35449–35456.Search in Google Scholar
Duan, & Lian. (2017). The peircean order of signification and its encoding system in chinese landscape painting. Semiotica.Search in Google Scholar
Jin, S., Fan, M., & Kadir, A. (2022). Immersive spring morning in the han palace: learning traditional chinese art via virtual reality and multi-touch tabletop. International journal of human-computer interaction.Search in Google Scholar
Zou, Z., Zhao, P., & Zhao, X. (2021). Virtual restoration of the colored paintings on weathered beams in the forbidden city using multiple deep learning algorithms. Advanced Engineering Informatics, 50, 101421-.Search in Google Scholar
Li, J., & Yu, N. (2020). Key technology of virtual roaming system in the museum of ancient high-imitative calligraphy and paintings. IEEE Access, PP (99), 1–1.Search in Google Scholar
Wang, Z., Lian, J., Song, C., Zhang, Z., & Ji, S. (2019). Sas: painting detection and recognition via smart art system with mobile devices. IEEE Access, PP(99), 1–1.Search in Google Scholar
Ma, W., Long, Q., Qin, Y., Xu, S., & Zhang, X. (2018). Repairing high-definition ancient paintings based on decomposition of curves. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 30(9), 1652–1661.Search in Google Scholar
Fu, F., Lv, J., Tang, C., & Li, M. (2020). Multi‐style chinese art painting generation of flowers. IET Image Processing.Search in Google Scholar
Jiang, Wei, Wang, Zheng, Jin, Jesse S., Han, Yahong, & Sun, Meijun. (2018). Dct-cnn-based classification method for the gongbi and xieyi techniques of chinese ink-wash paintings. Neurocomputing, 330.Search in Google Scholar
Hu, X., & Zhang, F. (2017). A study on the model of elaborate-style painting rendering visual features based on computer aided rendering algorithm. Revista de la Facultad de Ingenieria, 32(13), 241–247.Search in Google Scholar
Shen, Y., & Yu, F. (2021). The influence of artificial intelligence on art design in the digital age. Scientific programming (Pt.14), 2021.Search in Google Scholar
Chen, G. (2017). Research on emotional expression and application of urban theme in modern oil painting creation. Revista de la Facultad de Ingenieria, 32(9), 266–270.Search in Google Scholar
Lin, D., Wang, Y., Xu, G., Li, J., & Fu, K. (2018). Transform a simple sketch to a chinese painting by a multiscale deep neural network. Algorithms, 11(1), 4.Search in Google Scholar
Sze‐Teng Liong, Yen‐Chang Huang, Li, S., Huang, Z., Ma, J., & Gan, Y. S. (2020). Automatic traditional chinese painting classification: a benchmarking analysis. Computational Intelligence, 36(3).Search in Google Scholar
Li, D., & Zhang, Y. (2020). Multi-instance learning algorithm based on lstm for chinese painting image classification. IEEE Access, 8, 179336–179345.Search in Google Scholar
Xue, J., Guo, J., & Liu, Y. (2020). User-guided chinese painting completion–a generative adversarial network approach. IEEE Access, 8, 187431–187440.Search in Google Scholar
Zheng-Feng, L., Hang, Z., Wen-Hua, Z., Sheng-Cai, H., Zhong, Z., & Xiao-Kun, Q. et al. (2018). Pigment identification on an undated chinese painting by non-destructive Analysis. Vibrational Spectroscopy, 101, S092420311830002X-.Search in Google Scholar