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Korobtseva N.A., Yakovleva A.M. Development of a methodology for conducting a virtual fitting of clothes on a person. Journal of Clothing Science. 2025; 10(1). Available at: https://kostumologiya.ru/PDF/15TLKL125.pdf (in Russian).

Development of a methodology for conducting a virtual fitting of clothes on a person

Korobtseva Nadezhda Alekseevna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: rrr-home@yandex.ru
ORCID: https://orcid.org/0000-0001-9895-6761

Yakovleva Aleksandra Mikhailovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: amiy37@yandex.ru

Abstract. The article discusses the possibility of using virtual fitting of clothes — a new tool in the fashion industry, which opens up a wide range of opportunities for both consumers and manufacturers. The article describes the advantages of using virtual fitting.

The key tasks outlined in the article are: determining the place of virtual fitting in the fashion industry, researching existing services, and identifying the problems faced by developers and users. The article discusses the technologies and neural networks Genera space, Kolors-Virtual-Try-On, Hautech AI, Kling AI Virtual Try-On, used for virtual fitting and quick visualization creation. A comparative analysis of these neural networks was performed, revealing their pros and cons. On their basis the author’s algorithm for the development of clothing models on the basis of 3D clothing design in the program Clo 3D, using neural networks for virtual fitting and presentation of the result was developed and presented.

The neural networks available for use by a wide range of users and most suitable for trying on virtual things are selected. Examples of the use of virtual fitting using Clo 3D program are given and it is shown how it can be useful both for online shopping and for individual tailoring.

Keywords: fashion industry digital fashion; virtual design; virtual fitting; 3D modeling

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