GENERATIVE DESIGN WITH ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW OF TRENDS, TECHNIQUES, AND APPLICATIONS.
Generative visual design with AI transforms creative processes by autonomously generating images and structures using advanced algorithms. Its application optimizes visual production in architecture, product design and manufacturing, expanding creative possibilities. However, the lack of standards a...
| Publicado en: | Scientific Culture Vol. 11; no. 3, Part 1; pp. 976 - 992 |
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| Autores principales: | , , , , |
| Formato: | Literature Review |
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University of the Aegean
2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=191039542&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 191039542 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24080071 I6HU jtl: Scientific Culture issn: 24080071 maglogo: N pubinfo: dt: 2025 vid: 11 iid: 3, Part 1 pid: 47715 pub: University of the Aegean artinfo: ui: 191039542 10.5281/zenodo.11032561 ppf: 976 ppct: 16 formats: tig: atl: GENERATIVE DESIGN WITH ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW OF TRENDS, TECHNIQUES, AND APPLICATIONS. aug: au: Sivera-Sarmiento, Astelio Valencia-Arias, Alejandro Navarro Manotas, Evaristo Ramos Barrios, Liliana Jiménez Coronado, Angélica affil: Instituto de Investigación IDITEK, Colombia Investigador Independiente Universidad de la Costa (CUC), Colombia Corporación Unificada Nacional de Educación Superior (CUN), Colombia su: Artificial intelligence Algorithms Evaluation methodology Graphic design Creative ability Architectural design Product design sug: subj: Artificial intelligence Algorithms Evaluation methodology Graphic design Creative ability Architectural design Product design keyword: Computational Modeling Design Evaluation Generative Algorithms Machine Learning Structural Optimization ab: Generative visual design with AI transforms creative processes by autonomously generating images and structures using advanced algorithms. Its application optimizes visual production in architecture, product design and manufacturing, expanding creative possibilities. However, the lack of standards and evaluation criteria makes it difficult to adopt them in professional environments, which requires methodologies that measure the quality and coherence of the designs generated. The objective of this research is to explore AI algorithms, techniques and tools applied to generative visual design, identifying their main applications and evaluation methods. To this end, the PRISMA 2020 methodology was used, a systematic approach that guarantees the rigorous selection of relevant studies through a structured process of identification, screening, eligibility and analysis. The results show the predominance of algorithmic approaches, the diversity of tools used and the methodological and regulatory challenges in their industrial integration. Empirical validation, robust regulatory frameworks, and training strategies are required to facilitate their professional adoption. The development of generative design will depend on its integration with other disciplines and on tools that allow a more efficient interaction between AI and human creativity. pubtype: Academic Journal doctype: Literature Review src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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