This work is licensed under the Creative Commons Attribution 4.0 International License.
Hertzmann, A. (2018, May). Can computers create art?. In Arts (Vol. 7, No. 2, p. 18). MDPI.Search in Google Scholar
Carter, S., & Nielsen, M. (2017). Using artificial intelligence to augment human intelligence. Distill, 2(12), e9.Search in Google Scholar
Liu, S., Lin, T., He, D., Li, F., Deng, R., Li, X., ... & Wang, H. (2021). Paint transformer: Feed forward neural painting with stroke prediction. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 6598-6607).Search in Google Scholar
Elgammal, A., Kang, Y., & Den Leeuw, M. (2018, April). Picasso, matisse, or a fake? Automated analysis of drawings at the stroke level for attribution and authentication. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).Search in Google Scholar
Fan, X., & Zhong, X. (2022). Artificial intelligence-based creative thinking skill analysis model using human–computer interaction in art design teaching. Computers and Electrical Engineering, 100, 107957.Search in Google Scholar
Zou, Z., Shi, T., Qiu, S., Yuan, Y., & Shi, Z. (2021). Stylized neural painting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 15689-15698).Search in Google Scholar
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: a review. Artificial intelligence review, 55(1), 589-656.Search in Google Scholar
O’Connor, Z. (2021). Traditional colour theory: A review. Color Research & Application, 46(4), 838-847.Search in Google Scholar
Lecoutre, A., Negrevergne, B., & Yger, F. (2017, November). Recognizing art style automatically in painting with deep learning. In Asian conference on machine learning (pp. 327-342). PMLR.Search in Google Scholar
Greenberg, C. (2018). Modernist painting. In Modern Art and Modernism (pp. 5-10). Routledge.Search in Google Scholar
Gong, Y. (2021). Application of virtual reality teaching method and artificial intelligence technology in digital media art creation. Ecological Informatics, 63, 101304.Search in Google Scholar
Mazzone, M., & Elgammal, A. (2019, February). Art, creativity, and the potential of artificial intelligence. In Arts (Vol. 8, No. 1, p. 26). MDPI.Search in Google Scholar
Ragot, M., Martin, N., & Cojean, S. (2020, April). Ai-generated vs. human artworks. a perception bias towards artificial intelligence?. In Extended abstracts of the 2020 CHI conference on human factors in computing systems (pp. 1-10).Search in Google Scholar
Hong, J. W., & Curran, N. M. (2019). Artificial intelligence, artists, and art: attitudes toward artwork produced by humans vs. artificial intelligence. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15(2s), 1-16.Search in Google Scholar
Zheng, N., Jiang, Y., & Huang, D. (2018, September). Strokenet: A neural painting environment. In International Conference on Learning Representations.Search in Google Scholar
Floridi, L. (2021). Artificial intelligence, deepfakes and a future of ectypes. Ethics, governance, and policies in artificial intelligence, 307-312.Search in Google Scholar
Santos, I., Castro, L., Rodriguez-Fernandez, N., Torrente-Patino, A., & Carballal, A. (2021). Artificial neural networks and deep learning in the visual arts: A review. Neural Computing and Applications, 33, 121-157.Search in Google Scholar
Braham, W. W. (2019). Modern color/modern architecture: Amedee Ozenfant and the Genealogy of Color in Modern Architecture. Routledge.Search in Google Scholar
Witzel, C., & Gegenfurtner, K. R. (2018). Color perception: Objects, constancy, and categories. Annual review of vision science, 4(1), 475-499.Search in Google Scholar
Xiaoyue Ma & Yudi Huo.(2024).Drawing a satisfying picture: An exploratory study of human-AI interaction in AI Painting through breakdown–repair communication strategies.Information Processing and Management(4),103755-.Search in Google Scholar
Junping Xu,Chaemoon Yoo & Younghwan Pan.(2023).Prediction of user behavioral intentions based on structural equation modelling in AI painting cognitive conditions.International Journal of Communication Networks and Information Security(1),147-153.Search in Google Scholar
Hossein Noori,Mohammad Hossein Gholizadeh & Hossein Khodabakhshi Rafsanjani.(2024).Digital image defogging using joint Retinex theory and independent component analysis.Computer Vision and Image Understanding104033-.Search in Google Scholar
Li Fei,Wang Yuzhu,Jiang Jinrong,Zhang He,Wang Xiaocong & Chi Xuebin.(2023).Heterogeneous acceleration algorithms for shallow cumulus convection scheme over GPU clusters.Future Generation Computer Systems166-177.Search in Google Scholar