Integration of Natural Scenery in Chinese Landscape Painting and Application of 3D Modeling Technology

[1] Xue, A. (2021). End-to-end chinese landscape painting creation using generative adversarial networks. In Proceedings of the IEEE/CVF Winter conference on applications of computer vision (pp. 3863-3871). Search in Google Scholar

[2] Lee, B., Seo, M. K., Kim, D., Shin, I. S., Schich, M., Jeong, H., & Han, S. K. (2020). Dissecting landscape art history with information theory. Proceedings of the National Academy of Sciences, 117(43), 26580-26590. Search in Google Scholar

[3] Harmon, B. A., Petrasova, A., Petras, V., Mitasova, H., & Meentemeyer, R. (2018). Tangible topographic modeling for landscape architects. International Journal of Architectural Computing, 16(1), 4-21. Search in Google Scholar

[4] Diep, V. T. (2017). The landscape of the Void: truth and magic in Chinese landscape painting. Journal of Visual Art Practice, 16(1), 77-86. Search in Google Scholar

[5] Qiao, T., Zhang, W., Zhang, M., Ma, Z., & Xu, D. (2019, January). Ancient painting to natural image: A new solution for painting processing. In 2019 IEEE winter conference on applications of computer vision (WACV) (pp. 521-530). IEEE. Search in Google Scholar

[6] Zhou, P., Li, K., Wei, W., Wang, Z., & Zhou, M. (2020). Fast generation method of 3D scene in Chinese landscape painting. Multimedia Tools and Applications, 79, 16441-16457. Search in Google Scholar

[7] Schaldenbrand, P., & Oh, J. (2021, May). Content masked loss: Human-like brush stroke planning in a reinforcement learning painting agent. In Proceedings of the AAAI conference on artificial intelligence (Vol. 35, No. 1, pp. 505-512). Search in Google Scholar

[8] Galin, E., Guérin, E., Peytavie, A., Cordonnier, G., Cani, M. P., Benes, B., & Gain, J. (2019, May). A review of digital terrain modeling. In Computer Graphics Forum (Vol. 38, No. 2, pp. 553-577). Search in Google Scholar

[9] Chung, C. Y., & Huang, S. H. (2023). Interactively transforming Chinese ink paintings into realistic images using a border enhance generative adversarial network. Multimedia Tools and Applications, 82(8), 11663-11696. Search in Google Scholar

[10] Tang, F., Dong, W., Meng, Y., Mei, X., Huang, F., Zhang, X., & Deussen, O. (2017). Animated construction of Chinese brush paintings. IEEE transactions on visualization and computer graphics, 24(12), 3019-3031. Search in Google Scholar

[11] Aris, S., Aeini, B., & Nosrati, S. (2023). A digital aesthetics? artificial intelligence and the future of the art. Journal of Cyberspace Studies, 7(2), 219-236. Search in Google Scholar

[12] Chang, R., & Wang, J. (2023, May). Color pattern analogy: AI-assisted Chinese blue–green landscape painting restoration. In 2023 8th International Conference on Information and Network Technologies (ICINT) (pp. 1-6). IEEE. Search in Google Scholar

[13] Serkova, V. (2020, September). The digital reality: Artistic choice. In IOP Conference Series: Materials Science and Engineering (Vol. 940, No. 1, p. 012154). IOP Publishing. Search in Google Scholar

[14] Lv, X., & Zhang, X. (2019, November). Generating chinese classical landscape paintings based on cycle-consistent adversarial networks. In 2019 6th International Conference on systems and Informatics (ICSAI) (pp. 1265-1269). IEEE. Search in Google Scholar

[15] Bowen, J. P., Giannini, T., Polmeer, G., Gannis, C., Gardiner, J., Kearney, J., ... & Weinel, J. (2018). States of being: art and identity in digital space and time. EVA London 2018 Electronic Visualisation in Arts and Culture, 1-7. Search in Google Scholar

[16] Peng, X., Peng, S., Hu, Q., Peng, J., Wang, J., Liu, X., & Fan, J. (2022). Contour-enhanced CycleGAN framework for style transfer from scenery photos to Chinese landscape paintings. Neural computing and applications, 34(20), 18075-18096. Search in Google Scholar

[17] Wang, W., Li, Y., Ye, H., Ye, F., & Xu, X. (2023). Ink painting style transfer using asymmetric cycle-consistent GAN. Engineering Applications of Artificial Intelligence, 126, 107067. Search in Google Scholar

[18] 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

[19] Pohl, K. H. (2018). An Intercultural Perspective on Chinese Aesthetics. Social Theory and Asian Dialogues: Cultivating Planetary Conversations, 329-341. Search in Google Scholar

[20] He, B., Gao, F., Ma, D., Shi, B., & Duan, L. Y. (2018, October). Chipgan: A generative adversarial network for chinese ink wash painting style transfer. In Proceedings of the 26th ACM international conference on Multimedia (pp. 1172-1180). Search in Google Scholar

[21] Mironova, A., Robache, F., Deltombe, R., Guibert, R., Nys, L., & Bigerelle, M. (2020). Digital cultural heritage preservation in art painting: a surface roughness approach to the brush strokes. Sensors, 20(21), 6269. Search in Google Scholar

[22] Zhang, J., Miao, Y., Zhang, J., & Yu, J. (2020). Inkthetics: a comprehensive computational model for aesthetic evaluation of Chinese ink paintings. IEEE Access, 8, 225857-225871. Search in Google Scholar

[23] Heyi Liu,Xiumei Zhi & Haiyi Ren. (2024). Innovative Exploration of Chinese Ink Painting’s Communication Methods in the Context of AI-generated Art. Art and Design(1). Search in Google Scholar

[24] Qingxin Lv & Lv Qingxin. (2020). Using 3DMax Software to Assist in Researching the Application of Installation Art in Exhibition Design. Journal of Physics: Conference Series(3),032013-. Search in Google Scholar

[25] Song Il Ri,Vasileios Drakopoulos,Gyong Jin Jo & Yong Sop U. (2024). Remarkable results obtained when studying a question concerning the invariant set of an IFS. Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena 115398-115398. Search in Google Scholar