A study of utilizing computer-generated art methods to enhance creative expression in art education

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract The emergence of techniques such as Generative Adversarial Networks (GANs) has given the possibility continuous enhancement computer generated art methods. article proposes an approach to image style migration and generation based on generative adversarial networks. After summarizing applied research computer-generated art, then proceeds with in-depth study analysis GANs key algorithms for real-time migration, furthermore unconditional network architecture, Draw GAN. applying method proposed in this education, it was found that experimental scores students group were 0.4 higher than those control terms creative strategies, i.e., application enhancing effect expression ability group. provides a new perspective methods education.

Language: Английский

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A regression analysis study on the cognitive change pattern of digital art display on college students’ thought leadership process

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract This paper takes digital art display as an entry point, and analyzes the leading role of media on college students’ cognition in ideological political activities by elaborating interactive virtual features art. Then, this introduces calculation principle multiple linear regression prediction model, applies it to test level ideology politics. constructs research hypothesis that richness presentation content, diversity forms, high degree student participation are three factors affecting students. In analysis influencing students, is found coefficients students 0.008, 0.075, 0.021 respectively, with lower significance P-value less than 0.05, which indicates have a positive effect

Language: Английский

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Transformations and Innovations in Visual Communication Design in the New Media Era

International Journal of Interdisciplinary Telecommunications and Networking, Journal Year: 2025, Volume and Issue: 17(1), P. 1 - 14

Published: April 18, 2025

The rapid advancement of technology and the pervasive use Internet have dramatically transformed landscape visual communication design, impacting how information is disseminated consumed. This paper explores evolving nature design amidst rise new media, highlighting its pivotal role in shaping brand images, enhancing user experiences, fostering cross-cultural understanding. It delves into challenges opportunities presented by technological innovations such as AI, VR, AR, emphasizing need for designers to adapt their skills methodologies. discussion also covers importance cultural sensitivity, ethical considerations, sustainability practices. Through an analysis recent studies case examples, this research aims provide a comprehensive overview current trends future directions offering insights both scholars practitioners.

Language: Английский

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Evaluation and improvement of the creativity of works of art by integrating artificial immune algorithm

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

The creativity of artistic works encompasses multifaceted elements such as color, shape, and texture, characterized by their complexity subtlety. Current evaluation methods are predominantly subjective, lacking the ability to objectively comprehensively capture quantify these dynamic attributes. To address this limitation, study proposes an innovative approach for evaluating integrating artificial immune algorithm (AIA). Initially, features related texture extracted from artworks, feature vectors input into AIA antigens. Subsequently, defining antigen-antibody matching rules, artworks compared with creative reference antibodies generated derive results. Finally, leveraging a adjustment mechanism bidirectional crossover mutation probabilities, diversity antibody population is optimized through clonal selection strategy, enhancing model’s adaptability diverse styles. Experimental results demonstrate that proposed improved achieves significant enhancements in metrics, average Precision Recall values increasing 8.45% 11.21%, respectively, baseline AIA. This concludes AIA-integrated method effectively improves objectivity accuracy assessments, offering novel perspective intelligent artworks.

Language: Английский

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Enhancing SME Performance through Strategic Social Media Utilization

Published: Aug. 7, 2024

Language: Английский

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