Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks
With the development and progress of society, traditional painting creation techniques cannot realize the development needs of modern society for paintings, and it is necessary to constantly innovate and improve the painting creation techniques. Based on the structure of the generative adversarial n...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns-2024-0279 |
| _version_ | 1797303146170548224 |
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| author | Zhao Liang |
| author_facet | Zhao Liang |
| author_sort | Zhao Liang |
| collection | DOAJ |
| description | With the development and progress of society, traditional painting creation techniques cannot realize the development needs of modern society for paintings, and it is necessary to constantly innovate and improve the painting creation techniques. Based on the structure of the generative adversarial network, this paper utilizes the one-dimensional midpoint substitution method and dichotomous method to generate the rock outline in painting creation and combines the generative adversarial network to establish the style migration model of modern painting creation techniques and morphological language. Unity was used to construct the validation dataset, and for the style migration of painting creation techniques, we verified it in terms of stroke curvature, FID value, and peak signal-to-noise ratio, and analyzed the evolution of painting creation techniques and morphology language. The results show that the difference in stroke curvature before and after the contour migration of painting creation techniques is 3.27, the peak signal-to-noise ratio reaches 25.43 dB, and the evolution of comprehensive painting in creation techniques is in an upward trend, with an average annual growth rate of 13.07% from 2012 to 2020. Generative adversarial networks can be used in modern painting creation techniques to increase the richness of paintings and establish a spiritual connection between painters and audiences. |
| first_indexed | 2024-03-07T23:48:44Z |
| format | Article |
| id | doaj.art-fe444c24e8eb41f8909c76eb13fcd590 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-07T23:48:44Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-fe444c24e8eb41f8909c76eb13fcd5902024-02-19T09:03:36ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0279Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial NetworksZhao Liang01School of Fine Arts NanJing Normal University, NanJing Normal University, Nanjing, Jiangsu, 210000, China.With the development and progress of society, traditional painting creation techniques cannot realize the development needs of modern society for paintings, and it is necessary to constantly innovate and improve the painting creation techniques. Based on the structure of the generative adversarial network, this paper utilizes the one-dimensional midpoint substitution method and dichotomous method to generate the rock outline in painting creation and combines the generative adversarial network to establish the style migration model of modern painting creation techniques and morphological language. Unity was used to construct the validation dataset, and for the style migration of painting creation techniques, we verified it in terms of stroke curvature, FID value, and peak signal-to-noise ratio, and analyzed the evolution of painting creation techniques and morphology language. The results show that the difference in stroke curvature before and after the contour migration of painting creation techniques is 3.27, the peak signal-to-noise ratio reaches 25.43 dB, and the evolution of comprehensive painting in creation techniques is in an upward trend, with an average annual growth rate of 13.07% from 2012 to 2020. Generative adversarial networks can be used in modern painting creation techniques to increase the richness of paintings and establish a spiritual connection between painters and audiences.https://doi.org/10.2478/amns-2024-0279generative adversarial networkone-dimensional midpoint substitution methodmountain and rock modelstyle migration modelpainting creation00a73 |
| spellingShingle | Zhao Liang Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks Applied Mathematics and Nonlinear Sciences generative adversarial network one-dimensional midpoint substitution method mountain and rock model style migration model painting creation 00a73 |
| title | Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks |
| title_full | Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks |
| title_fullStr | Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks |
| title_full_unstemmed | Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks |
| title_short | Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks |
| title_sort | analysis of the technique and morphological language of modern painting creation based on generative adversarial networks |
| topic | generative adversarial network one-dimensional midpoint substitution method mountain and rock model style migration model painting creation 00a73 |
| url | https://doi.org/10.2478/amns-2024-0279 |
| work_keys_str_mv | AT zhaoliang analysisofthetechniqueandmorphologicallanguageofmodernpaintingcreationbasedongenerativeadversarialnetworks |