[Metachrosys] Image generation AI automatically generates clothing wearing patterns based on existing data
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Press release: May 8, 2024
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Image generation AI automatically generates clothing wearing patterns based on existing data
*Nissen, BIPROGY, and Metacrosys conducted demonstration experiments* Nissen, BIPROGY, and Metacrosys conducted a demonstration experiment to automatically generate clothing wearing patterns using image generation AI. Recently, in the apparel industry, the product purchasing process of consumers has changed significantly from brick-and-mortar stores to e-commerce sites, and there is an urgent need to expand the functionality of e-commerce sites. In this demonstration experiment, we used AI to automatically generate clothing wearing patterns from data held by Nissen. By utilizing this, it becomes possible to propose new ways of dressing to consumers. [Background]
Recently, the product purchasing process of consumers has changed significantly, and it has become a daily routine for consumers to use e-commerce sites to consider and purchase products at their leisure, without having to visit a physical store. For this reason, the use of e-commerce sites that do not rely on physical stores is accelerating in the apparel industry as well. On e-commerce sites, it is difficult to get a sense of what the product will look like when actually worn, so we post the wearing patterns of models and store staff. However, in order to meet the needs of diverse consumers, it is necessary to arrange a large number of models and sample products, so the range of listings is currently limited.
【overview】
Nissen, BIPROGY, and Metacrosys conducted a demonstration experiment to solve these issues in the apparel industry. Using the image try-on function of Metacrosys’ apparel DX application “FIGUR,” the wearing pattern was automatically generated based on existing data held by Nissen. By utilizing this, it is possible to provide wearing patterns that meet the diverse needs of consumers, which was difficult with conventional realistic model photography, reduce the costs required for arrangements, and improve work efficiency. be connected.
Automatically generated image of wearing pattern
【How it will be done in the future】
Going forward, Nissen, BIPROGY, and Metacrosys will continue to create new services that flexibly respond to consumer needs. Also, A.I. We aim to improve operational efficiency and reduce environmental impact in the apparel industry, from planning to manufacturing and sales by utilizing .
Entrepreneurship support program “1stRound”
■Collaborative support through “1stRound”, one of the largest cross-academic entrepreneurial support programs in Japan
Metacrosis is the University of Tokyo Collaborative Platform Development Co., Ltd. (Head office: Hongo, Bunkyo-ku, Tokyo, President and CEO: Kosuke Ueda)
has been selected as the 8th recipient of “1stRound,” Japan’s largest entrepreneurial support program co-sponsored with domestic universities and research institutes.
Announcement of selection for the 8th 1stRound
■Related links:
Nissen: https://info.nissen.co.jp/
BIPROGY: https://www.biprogy.com/
Metachrosys: https://metachrosys.com/
The University of Tokyo Collaborative Creation Platform Development Co., Ltd.: https://www.utokyo-ipc.co.jp/
*Company names and product names listed are trademarks or registered trademarks of each company.
*The information posted is as of the date of announcement. Please note that the information may be subject to change without prior notice. *About details about this release*
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