Introducing New Features in FaceChange AI for Personalized Outfit Visualizations

Transforming Fashion Choices with FaceChange AI

In the competitive world of online fashion retail, the ability to visualize how a product will look on oneself is crucial. This is where FaceChange, an AI-driven face synthesis technology developed by Makip Co., Ltd., steps in to change the game. Recently, they launched a new feature that allows users to merge their faces onto outfit images modeled by staff with similar body types. This innovative solution aims to enhance the shopping experience on the PAL CLOSET apparel e-commerce platform.

Features of the New FaceChange Update

FaceChange is designed to help users visualize how a clothing item will look on them by merging their faces onto images of staff members wearing various outfits. Previously, users could only combine their faces with model images; however, the new functionality focuses on creating a more accurate representation by using images of staff members whose body types closely match the user’s physique. This enhancement is based on feedback from users who expressed the need for a more realistic visualization tool during their shopping journey.

To utilize this feature, users are required to register specific body data, including height, weight, age, and gender. Upon registration, the system prioritizes outfit images modeled by staff that physically resemble the user, allowing for a more tailored presentation of available clothing options. This feature not only simplifies the selection process but also significantly increases the accuracy of outfit visualizations, helping users gauge their suitability for prospective purchases more realistically.

User Experience and Testimonials

The introduction of this feature has been positively received by users. Here are some testimonials from those who have already tried it:

- "Seeing clothing options modeled by someone with a similar body type made it so much easier to picture myself wearing them."
- "The ability to merge my face with an outfit worn by a staff member of similar body and bone structure allowed me to make better purchasing decisions."
- "With multiple outfit images at my disposal for visualization, it became much easier to determine what suits me. Moreover, the resulting images looked incredibly realistic, which boosted my desire to buy the items."

How to Use FaceChange

Getting started with the new FaceChange feature is straightforward. Here’s how the process works:
1. Select the FaceChange Banner: Find and tap on the FaceChange banner on the product or favorites pages of PAL CLOSET to launch the feature.
2. Register Personal Body Data: Upon starting, users can tap on 'Sort Similar Body Types' to input their height, weight, age, and gender. Once this data is entered, the system will automatically reorganize the available outfit images to show options that best match the user’s physique.
3. Choose Coordination Images: Users can select up to three clothing images modeled by either staff or models for facial synthesis.
4. Upload Your Face Photo: Carefully follow the guidelines to upload a personal face image for merging. Once uploaded, the merging process begins immediately, and users don’t have to re-upload their face for subsequent uses.
5. Review the Merged Image: After the synthesis is complete, users can view their personalized outfit visualizations. By clicking the 'Product Page' button, they can access detailed information about the selected items.

The Future of FaceChange

FaceChange not only bridges the gap between uncertainty and confidence in online shopping but also aims to eliminate the hesitation associated with purchasing clothing without firsthand visualization. In user surveys, many have remarked how this feature significantly aids in item selection, providing greater assurance in their choices. Makip Co., Ltd. plans to further enhance FaceChange to ensure an even more precise and user-friendly verification of suitable outfits. As they pursue this ambitious roadmap, the goal remains clear: to streamline the shopping experience, allowing users to explore their style potential seamlessly.

For more information about FaceChange, visit the official page here and try the demo here.

Company Background

Founded by CEO Shingo Emoto, Makip Co., Ltd. is based in Shinjuku, Tokyo, aiming to innovate fashion through cutting-edge technology. Collaborating with fashion retailers such as PAL, a company led by Junichi Koji, they are committed to reshaping the online shopping landscape.