AI Virtual Try-on "WearStudio.AI" Officially Releases Industry-Specific Page "Sports TryOn"
Newgia Inc. has officially launched "WearStudio.AI for Sports," an industry-specific page within its cloud-based AI virtual try-on platform, "WearStudio.AI," targeting sports apparel and equipment manufacturers. This solution leverages generative AI to fundamentally address structural issues like high photography costs, long catalog production lead times, and mass production of SKU variations in the sports industry.
📋 Article Processing Timeline
- 📰 Published: May 11, 2026 at 20:30
- 🔍 Collected: May 11, 2026 at 12:01
- 🤖 AI Analyzed: May 11, 2026 at 12:43 (41 min after Collected)
Newgia Inc. (Headquarters: Chuo-ku, Tokyo / Representative Director: Yukihiro Kashiwaguchi / hereinafter, "the Company") is pleased to announce the official release of "WearStudio.AI for Sports (Sports Try-on Studio)," an industry-specific page within its cloud-based AI virtual try-on platform "WearStudio.AI," aimed at sports apparel and sports equipment manufacturers, specialized trading companies, and wholesale/retail companies.
WearStudio.AI for Sports (Sports Try-on Studio): https://wearstudio.ai/sports-tryon
This feature was developed with the aim of fundamentally solving the structural challenges faced by sports apparel and sports equipment manufacturers across 11 sports, including tennis, badminton, golf, running, swimming, soccer, basketball, baseball, skiing, and fitness. These challenges include "product photography costs," "catalog production lead times," and "mass production of variations per SKU," all addressed through generative AI. This is the only industry-specific AI try-on platform commercially available in Japan offered by the Company.
WearStudio.AI for Sports (Sports Try-on Studio)
■ Background of Development: Unique Challenges Faced by the Sports Apparel Industry, Different from the Fashion Industry
In recent years, while multiple AI virtual try-on services for the fashion industry have emerged, most of them are limited to processing architectures based on "static, front-facing models" and "flat-laid clothing." Consequently, they have been unable to meet the specific requirements of the sports apparel industry, which include:
- Synthesis of dynamic poses such as swings, jumps, and running into model photos.
- Reproduction of not only logos and color schemes on the front of the wear but also prints and numbering on the back.
- Individual replacement of sporting equipment like rackets, bats, sticks, and shoes that appear simultaneously with the wear.
- High-resolution output equivalent to gravure printing required for magazines, promotional posters, in-store POPs, and main images on e-commerce sites.
In the sports apparel industry, photography costs involving contracted athletes and models, studio and location fees, and re-shooting costs for seasonal color variations and SKU-specific items represent a significant proportion of the product development budget that cannot be ignored.
Furthermore, delays in confirming product designs due to coordination with overseas suppliers put pressure on photography schedules, leading to an vicious cycle of extended lead times for e-commerce publication and catalog printing, which is a common industry challenge.
To overcome these "four unique barriers in sports that AI try-on for the fashion industry could not solve," the Company developed this feature, integrating its proprietary multi-stage orchestration technology and sport-domain-specific control logic, based on world-class generative AI image processing technology.
With AI, in an instant.
■ 5 Values that "WearStudio.AI for Sports" Brings to Sports Apparel Companies
[Value 1] Significant Reduction in Product Photography Costs
It is possible to replace the conventional photography system, which incurs costs in the order of millions of yen for contracted athletes, professional models, studios, locations, stylists, and photographers, with a combination of one model photo and flat-laid product photos held internally by the company.
Derivative products such as additional seasonal colors, different material SKUs, and limited models can be generated in any number of patterns without additional photography.
[Value 2] Shortening Lead Time for Catalog and E-commerce Site Publication
By simply uploading product sample photos and existing model photos, completed images can be obtained in approximately 90 seconds per design. This replaces the traditional production flow of several weeks to one month (from sample arrival from overseas factories → photography arrangements → photography → development/retouching → submission) with a self-service workflow that internal staff can complete in a browser.
[Value 3] Dynamic Pose Support: Synthesis of New Wear onto "Moving Athletes"
This feature accurately maintains the dynamic poses in model photos, such as tennis swings, golf finishes, running strides, and basketball jump shots, while replacing only the attire with new wear. This enables the mass production of key visuals that emphasize product performance scenes without actual photography. This functionality is an area where implementation examples are extremely limited among major virtual try-on services worldwide, and the Company is the only one in Japan to commercially offer it for the sports apparel industry.
[Value 4] High-Precision Reproduction of Logos and Prints through Simultaneous Reference to Front and Back Surfaces
To faithfully reproduce critically important elements in sportswear such as chest logos, back numbering, sponsor names, and brand marks on both sleeves, a unique method is adopted that simultaneously references two images: the front and back photos of the wear. This ensures accurate representation of contracted sponsor logos, etc., even in scenes where the model is facing away.
WearStudio.AI for Sports (Sports Try-on Studio): https://wearstudio.ai/sports-tryon
This feature was developed with the aim of fundamentally solving the structural challenges faced by sports apparel and sports equipment manufacturers across 11 sports, including tennis, badminton, golf, running, swimming, soccer, basketball, baseball, skiing, and fitness. These challenges include "product photography costs," "catalog production lead times," and "mass production of variations per SKU," all addressed through generative AI. This is the only industry-specific AI try-on platform commercially available in Japan offered by the Company.
WearStudio.AI for Sports (Sports Try-on Studio)
■ Background of Development: Unique Challenges Faced by the Sports Apparel Industry, Different from the Fashion Industry
In recent years, while multiple AI virtual try-on services for the fashion industry have emerged, most of them are limited to processing architectures based on "static, front-facing models" and "flat-laid clothing." Consequently, they have been unable to meet the specific requirements of the sports apparel industry, which include:
- Synthesis of dynamic poses such as swings, jumps, and running into model photos.
- Reproduction of not only logos and color schemes on the front of the wear but also prints and numbering on the back.
- Individual replacement of sporting equipment like rackets, bats, sticks, and shoes that appear simultaneously with the wear.
- High-resolution output equivalent to gravure printing required for magazines, promotional posters, in-store POPs, and main images on e-commerce sites.
In the sports apparel industry, photography costs involving contracted athletes and models, studio and location fees, and re-shooting costs for seasonal color variations and SKU-specific items represent a significant proportion of the product development budget that cannot be ignored.
Furthermore, delays in confirming product designs due to coordination with overseas suppliers put pressure on photography schedules, leading to an vicious cycle of extended lead times for e-commerce publication and catalog printing, which is a common industry challenge.
To overcome these "four unique barriers in sports that AI try-on for the fashion industry could not solve," the Company developed this feature, integrating its proprietary multi-stage orchestration technology and sport-domain-specific control logic, based on world-class generative AI image processing technology.
With AI, in an instant.
■ 5 Values that "WearStudio.AI for Sports" Brings to Sports Apparel Companies
[Value 1] Significant Reduction in Product Photography Costs
It is possible to replace the conventional photography system, which incurs costs in the order of millions of yen for contracted athletes, professional models, studios, locations, stylists, and photographers, with a combination of one model photo and flat-laid product photos held internally by the company.
Derivative products such as additional seasonal colors, different material SKUs, and limited models can be generated in any number of patterns without additional photography.
[Value 2] Shortening Lead Time for Catalog and E-commerce Site Publication
By simply uploading product sample photos and existing model photos, completed images can be obtained in approximately 90 seconds per design. This replaces the traditional production flow of several weeks to one month (from sample arrival from overseas factories → photography arrangements → photography → development/retouching → submission) with a self-service workflow that internal staff can complete in a browser.
[Value 3] Dynamic Pose Support: Synthesis of New Wear onto "Moving Athletes"
This feature accurately maintains the dynamic poses in model photos, such as tennis swings, golf finishes, running strides, and basketball jump shots, while replacing only the attire with new wear. This enables the mass production of key visuals that emphasize product performance scenes without actual photography. This functionality is an area where implementation examples are extremely limited among major virtual try-on services worldwide, and the Company is the only one in Japan to commercially offer it for the sports apparel industry.
[Value 4] High-Precision Reproduction of Logos and Prints through Simultaneous Reference to Front and Back Surfaces
To faithfully reproduce critically important elements in sportswear such as chest logos, back numbering, sponsor names, and brand marks on both sleeves, a unique method is adopted that simultaneously references two images: the front and back photos of the wear. This ensures accurate representation of contracted sponsor logos, etc., even in scenes where the model is facing away.