CoCoStyle: Mixed initiative co-creative system to support creative process of fashion design

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-09-01 DOI:10.1016/j.softx.2024.101857

Myungjin Kim, Misun Joo, Kyungsik Han

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引用次数: 0

Abstract

Due to the rapid development of AI, research on creativity support tools that allow humans to foster creativity through collaboration with AI is actively progressing. The concept of an AI-based mixed initiative co-creative system (AI-MICCS), which gives the user the initiative, has emerged. Our research focuses on the fashion domain, where creativity plays an important role, and we present CoCoStyle, an AI-MICCS that can support the creativity of fashion designers. CoCoStyle has three main phases (CoResearch, CoDesign, and CoImprovement) and six sub-phases (Build, Pick, Create, Switch, View and Fit). Fashion Designers can efficiently group a large number of desired images using the attribute detection model and $k$ -means algorithm, create unique designs using StyleGAN2, and improve designs from various perspectives using transformer embedding and attribute detection results. We believe that CoCoStyle will effectively support fashion designers in their creative design process by allowing users to take the initiative in controlling the AI.

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CoCoStyle：支持时装设计创意过程的混合倡议共同创意系统

随着人工智能的飞速发展，有关创造力支持工具的研究也在积极推进，这些工具可以让人类通过与人工智能的合作来培养创造力。基于人工智能的混合主动协同创造系统（AI-MICCS）的概念应运而生，它将主动权交给了用户。我们的研究重点是时尚领域，在这个领域中，创造力发挥着重要作用，我们提出了 CoCoStyle，一个可以支持时尚设计师创造力的人工智能-MICCS。CoCoStyle 有三个主要阶段（CoResearch、CoDesign 和 CoImprovement）和六个子阶段（Build、Pick、Create、Switch、View 和 Fit）。时装设计师可以利用属性检测模型和 k-means 算法对大量所需图片进行有效分组，利用 StyleGAN2 创建独特的设计，并利用变换器嵌入和属性检测结果从不同角度改进设计。我们相信，通过让用户主动控制人工智能，CoCoStyle 将有效支持时装设计师的创意设计过程。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.