Generative Large Model-Driven Methodology for Color Matching and Shape Design in IP Products DOI Creative Commons
Fan Wu, Peng Lu, Shih‐Wen Hsiao

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 319 - 319

Published: March 19, 2025

The rise in generative large models has gradually influenced traditional product design processes, with AI-generated content (AIGC) playing an increasingly significant role. Globally, tourism IP cultural products are crucial for promoting sustainable development. However, there is a lack of practical methodologies incorporating products. Therefore, this study proposes methodology the color matching and shape using multimodal models. process includes four phases, as follows: (1) GPT-4o used to explore visitors’ emotional needs identify target imagery; (2) Midjourney generates options that align imagery, optimal selected through quadratic curvature entropy method based on curves; (3) colored images reflecting representative colors AHP OpenCV; (4) harmony calculations best combination. These alternatives evaluated quantitatively qualitatively color-matching aesthetic measurement formula sensibility questionnaire. effectiveness demonstrated case harbor seal, showing strong correlation between quantitative qualitative evaluations, confirming its design.

Language: Английский

A feature curve-based method for balancing brand identity and emotional imagery in automobile frontal form design DOI
Peng Lu, Fan Wu,

Shih-Wen Hsiao

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103118 - 103118

Published: Jan. 18, 2025

Language: Английский

Citations

0
"Human or artificial intelligence?": an empirical study of respondents' declared preferences in digital graphics DOI Open Access

Svetlana Borisovna Solomentseva

Человек и культура, Journal Year: 2025, Volume and Issue: 1, P. 37 - 49

Published: Jan. 1, 2025

Currently, technologies based on the use of artificial intelligence are being integrated into most spheres life in modern society, which determines relevance research topic. The initial stages this movement were associated with solving problems optimizing routine processes, but recently there has been a tendency to introduce innovative neural network practices such areas as culture and art, considered prerogative man. purpose work is experimentally identify respondents' declared preferences between digital graphic works created by humans intelligence. This will allow us give an objective assessment potential generative technologies, their ability compete copyrighted works, well degree influence vectors further development field artistic creativity creative design. A target group 62 respondents skills was formed for empirical study. data collected method using Google Forms. methods quantitative statistical analysis used during performance stage. no formalized criteria evaluating quality images. scientific novelty study lies fact that, results opinions qualified survey participants, emotional perception existing practical experience, announced determined first time. In general, demonstrated commitment author projects score 55.5% (the answer "yes" – 20.3%, "rather yes" 35.2%), while illustrations developed received 44.5% 13.5%, 31.0%). obtained can be theoretical importance artists designers, researchers teaching staff educational institutions providing training training. timely response large-scale changes when basic concepts art undergoing transformation, rethinking algorithms creating introducing new forms organizing process.

Language: Английский

Citations

0
SSE-Net: A novel network based on sequence spatial equation for Camellia sinensis lysine acetylation identification DOI
Lichao Zhang, Xue Wang,

Guosheng Gao

et al.

Computational Biology and Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 108442 - 108442

Published: March 1, 2025

Language: Английский

Citations

0
Research on the Path to Improving the Teaching Effectiveness of News Communication in Colleges and Universities under the Background of Artificial Intelligence DOI Open Access

Jing Song

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

Published: Jan. 1, 2025

Abstract With the rapid development of artificial intelligence technology, field education, especially journalism communication teaching in colleges and universities, is facing unprecedented opportunities for change. Artificial not only promotes innovation methods, but also provides a new path improving effects. This paper takes major universities as research object, discusses how to effectively improve effect under background intelligence. Through investigation data analysis disciplines 30 across country, introduction technology has shown significant advantages students’ learning efficiency, enhancing curriculum interactivity, teachers’ quality. The intelligence-assisted personalized system can customize course content according progress interests, while evaluation real-time feedback on performance through analysis, helping teachers adjust strategies more accurately. In using average grades have increased by 15%, classroom participation 20%, satisfaction 25%.

Language: Английский

Citations

0
Generative Large Model-Driven Methodology for Color Matching and Shape Design in IP Products DOI Creative Commons
Fan Wu, Peng Lu, Shih‐Wen Hsiao

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 319 - 319

Published: March 19, 2025

The rise in generative large models has gradually influenced traditional product design processes, with AI-generated content (AIGC) playing an increasingly significant role. Globally, tourism IP cultural products are crucial for promoting sustainable development. However, there is a lack of practical methodologies incorporating products. Therefore, this study proposes methodology the color matching and shape using multimodal models. process includes four phases, as follows: (1) GPT-4o used to explore visitors’ emotional needs identify target imagery; (2) Midjourney generates options that align imagery, optimal selected through quadratic curvature entropy method based on curves; (3) colored images reflecting representative colors AHP OpenCV; (4) harmony calculations best combination. These alternatives evaluated quantitatively qualitatively color-matching aesthetic measurement formula sensibility questionnaire. effectiveness demonstrated case harbor seal, showing strong correlation between quantitative qualitative evaluations, confirming its design.

Language: Английский

Citations

0