GARMENT FABRICATION USING MACHINE LEARNING

Smart overview of the Invention

Methods and systems are introduced for the creation of physical garments using machine learning techniques. By receiving a set of parameters that define a fashion item, a prompt is formed and processed by a generative machine learning model. This model produces an image of an artificial fashion item based on the parameters, which is then used to create an augmented reality (AR) experience. The AR experience overlays a virtual object onto a real-world object, allowing users to interact with the virtual depiction of the fashion item.

Technical Background

The application relates to garment fabrication and addresses challenges in the fashion industry, such as understanding market demand and creating appealing designs efficiently. Designers often rely on intuition and market research to predict consumer preferences, but this process can be costly and time-consuming. The invention aims to streamline this process by utilizing machine learning to automate the creation and testing of fashion designs.

Market Research Enhancement

Traditional methods of market research involve presenting realistic models of garments, which is both expensive and labor-intensive. The new method uses machine learning to generate high-quality images for market research without requiring costly equipment or manual adjustments. This approach reduces the complexity and cost associated with garment design and enhances the overall efficiency of creating images for advertising purposes.

Machine Learning Integration

The invention leverages machine learning to optimize garment design by defining parameters that describe the look and feel of an item. A generative model creates an artificial image, which is used in an AR experience shared with users for feedback. This feedback informs whether to fabricate the real-world item, allowing for iterative design improvements based on user responses.

System Architecture

The interaction system involves networked computing environments where user devices communicate via interaction clients over a network. Interaction clients connect to servers providing functionalities like data exchange, media augmentation, and user interactions. Servers manage data processing, storage, and communication between clients, enabling efficient deployment of technology and functionality across user systems.