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      Towards enhanced creativity in fashion: integrating generative models with hybrid intelligence

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          Abstract

          Introduction

          This study explores the role and potential of large language models (LLMs) and generative intelligence in the fashion industry. These technologies are reshaping traditional methods of design, production, and retail, leading to innovation, product personalization, and enhanced customer interaction.

          Methods

          Our research analyzes the current applications and limitations of LLMs in fashion, identifying challenges such as the need for better spatial understanding and design detail processing. We propose a hybrid intelligence approach to address these issues.

          Results

          We find that while LLMs offer significant potential, their integration into fashion workflows requires improvements in understanding spatial parameters and creating tools for iterative design.

          Discussion

          Future research should focus on overcoming these limitations and developing hybrid intelligence solutions to maximize the potential of LLMs in the fashion industry.

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          Most cited references13

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          Fuzzy sets

          L.A. Zadeh (1965)
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            Fuzzy databases: principles and applications

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              3D dynamic fashion design development using digital technology and its potential in online platforms

              The purpose of this study is to develop 3D dynamic fashion garments with changeable styles, colors and textile patterns, especially using a 3D virtual simulation system, and to examine their potential possibilities in online fashion platforms. For designing and developing 3D dynamic fashion garments, CLO3D and Aftereffects were used with a design collaboration between a fashion designer and a motion graphic artist group. Ten samples of a ready-to-wear collection were developed to visualize aesthetic and technological explorations of 3D dynamic fashion garments, composed of short videos. This study also evaluated the potential of 3D dynamic fashion garments along with 3D virtual simulation systems through focus group interview with professional fashion designers and digital experts, which indicated social and industrial possibilities toward them. This survey showed a list of findings in terms of current status of 3D virtual simulation systems and their impact on companies, discourses on the uncanny valley surrounding avatars, changes in fashion design process derived from 3D virtual simulation systems, co-design and customization in online platforms, and future prospects of 3D virtual garments in the fashion and gaming industries. Finally, this study led to discussions on future possible digital fashion design with several implications, based on design criteria, including digital technology, dynamic range, wearability, expressivity, interactivity, sustainability, and context. Supplementary Information The online version contains supplementary material available at 10.1186/s40691-021-00286-1.
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                Author and article information

                Contributors
                Journal
                Front Artif Intell
                Front Artif Intell
                Front. Artif. Intell.
                Frontiers in Artificial Intelligence
                Frontiers Media S.A.
                2624-8212
                23 September 2024
                2024
                : 7
                : 1460217
                Affiliations
                [1] 1Department of Computational Mathematics and Cybernetics, Lomonosov Moscow State University , Moscow, Russia
                [2] 2Glocal Holding SLU , Ordino, Andorra
                [3] 3ELSE Corp Srl. , Milan, Italy
                [4] 4Department of Mechanics and Mathematics, Lomonosov Moscow State University , Moscow, Russia
                Author notes

                Edited by: Aleksandr Raikov, National Supercomputer Center, China

                Reviewed by: Areg Melik-Adamyan, Intel, United States

                Luca Buccoliero, Bocconi University, Italy

                *Correspondence: Alexander Ryjov, alexander.ryjov@ 123456gmail.com
                Article
                10.3389/frai.2024.1460217
                11468243
                39399629
                cc028ca9-432b-4e05-9635-9bb81185d8d4
                Copyright © 2024 Ryjov, Kazaryan, Golub and Egorova.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 July 2024
                : 26 August 2024
                Page count
                Figures: 12, Tables: 4, Equations: 12, References: 48, Pages: 21, Words: 13031
                Funding
                The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
                Categories
                Artificial Intelligence
                Original Research
                Custom metadata
                AI in Business

                large linguistic models (llms),generative intelligence (gi),fashion industry,hybrid intelligence,co-design

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