{"title":"Combinediff：用于图像组合探索的 GenAI 创意支持工具","authors":"Zhouyang Wang, Zhengyu Tan, Yujia Ma","doi":"10.1080/09544828.2024.2358722","DOIUrl":null,"url":null,"abstract":"Recent advancements in generative AI models showcase significant potential in the creative industry. This study explores the application of state-of-the-art (SOTA) visual foundation models to enhan...","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combinediff: a GenAI creative support tool for image combination exploration\",\"authors\":\"Zhouyang Wang, Zhengyu Tan, Yujia Ma\",\"doi\":\"10.1080/09544828.2024.2358722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advancements in generative AI models showcase significant potential in the creative industry. This study explores the application of state-of-the-art (SOTA) visual foundation models to enhan...\",\"PeriodicalId\":50207,\"journal\":{\"name\":\"Journal of Engineering Design\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09544828.2024.2358722\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09544828.2024.2358722","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Combinediff: a GenAI creative support tool for image combination exploration
Recent advancements in generative AI models showcase significant potential in the creative industry. This study explores the application of state-of-the-art (SOTA) visual foundation models to enhan...
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The Journal of Engineering Design is a leading international publication that provides an essential forum for dialogue on important issues across all disciplines and aspects of the design of engineered products and systems. The Journal publishes pioneering, contemporary, best industrial practice as well as authoritative research, studies and review papers on the underlying principles of design, its management, practice, techniques and methodologies, rather than specific domain applications.
We welcome papers that examine the following topics:
Engineering design aesthetics, style and form-
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Collaborative design in engineering-
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Design education and pedagogy in engineering-
Engineering design for X, e.g. manufacturability, assembly, environment, sustainability-
Engineering design management-
Design risk and uncertainty in engineering-
Engineering design theory and methodology-
Designing product platforms, modularity and reuse in engineering-
Emotive design, e.g. Kansei engineering-
Ergonomics, styling and the design process-
Evolutionary design activity in engineering (product improvement & refinement)-
Global and distributed engineering design-
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Engineering industrial design and total design-
Integrated engineering design development-
Knowledge and information management in engineering-
Engineering maintainability, sustainability, safety and standards-
Multi, inter and trans disciplinary engineering design-
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Engineering product introduction process[...]
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