Aesthetic Communication of Art: Reflections from Taine’s Philosophy of Art

  • Lyuqi He Chinese National Academy of Arts
Keywords: Art, Chinese Painting, Appealing

Abstract

The book Philosophy of Art is the result of Taine’s grasping and sorting out the essence of art, showing the integration of aesthetic theory and art, and containing the inspiration and significance of art aesthetics to later scholars. This article combines Taine’s insights and lecture notes on art in the book, discusses the value of art’s aesthetics as a work of art, and explores the origin and true meaning of art from the perspective of the artist’s accomplishments and the factors that determine art.

References

[1] Brooks, P. (2020). IX.” Godlike Science/Unhallowed Arts”: Language, Nature, and Monstrosity. In The Endurance of Frankenstein (pp. 205-220). University of California Press.

[2] Boyce, M., Bungay, H., Munn‐Giddings, C., & Wilson, C. (2018). The impact of the arts in healthcare on patients and service users: A critical review. Health & social care in the community, 26(4), 458-473.

[3] Carlucci, D., & Schiuma, G. (2018). The power of the arts in business. Journal of Business Research, 85, 342-347.

[4] Dang, R., Wang, N., Liu, G., & Tan, H. (2019). Four-component, white LED with good colour quality and minimum damage to traditional Chinese paintings. Lighting Research & Technology, 51(7), 1077-1091.

[5] Kong, X., Zhang, J., Xuan, Q., Lu, J., & Feng, J. (2018). Superhydrophobic coating for antifouling of chinese paintings. Langmuir, 34(28), 8294-8301.

[6] Lyu, S., Liu, Y., Hou, M., Yin, Q., Wu, W., & Yang, X. (2020). Quantitative analysis of mixed pigments for Chinese paintings using the improved method of ratio spectra derivative spectrophotometry based on mode. Heritage Science, 8(1), 1-21.

[7] Martin, L., Oepen, R., Bauer, K., Nottensteiner, A., Mergheim, K., Gruber, H., & Koch, S. C. (2018). Creative arts interventions for stress management and prevention—a systematic review. Behavioral Sciences, 8(2), 28.

[8] Sheng, J., Song, C., Wang, J., & Han, Y. (2019). Convolutional Neural Network Style Transfer Towards Chinese Paintings. IEEE Access, 7, 163719-163728.

[9] 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, 1-37.

[10] Wang, F., & Zheng, X. (2018). The comparison of the hedonic, repeat sales, and hybrid models: Evidence from the Chinese paintings market. Cogent Economics & Finance, 6(1), 1443372.

Published
2022-04-13