Virtual Garment Warping and Styling From a Single User Photo

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Solution Overview

Problem

Existing virtual try-on systems require multiple perspectives and assistance, are tedious, incapable of manipulating clothing to realistically drape on different poses, and lack styling options for clothing articles.

Innovation Solution

A system utilizing computer vision and machine learning for virtual try-on and styling, including selecting a garment, generating semantic segmentation, extracting the garment, determining correspondence, performing garment warping and alignment, and overlaying and rendering it on a user's image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing virtual try-on systems require multiple perspectives and assistance, then the try-on process can be completed, but the process becomes tedious and time-consuming

Engineering Contradiction:

Improvetry-on completionVSAvoidprocess time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables users to perform virtual try-on independently using a single photograph, eliminating the need for assistance from other people or multiple拍摄 perspectives. The automated processing handles garment extraction, model fitting, and rendering without human intervention, making the process self-service oriented and significantly reducing time requirements.

Inventive Principle:

Principle #25Self-service

2Productivity

If existing systems use simple garment overlay, then the process is fast, but the clothing does not realistically drape or deform on different user poses

Engineering Contradiction:

Improveprocessing speedVSAvoidgarment drape realism

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system employs dynamic garment simulation that adapts to different user poses and body shapes. The garment model is not statically overlaid but dynamically deformed based on the target user's anatomy and posture, allowing realistic draping and folding patterns while maintaining processing efficiency through optimized computational algorithms.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes multiple parameters including garment geometry, material properties, and pose configurations to achieve realistic draping. By adjusting these parameters based on the target user's characteristics and the selected pose, the system generates authentic-looking garment simulations without requiring exhaustive manual modeling.

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If existing systems do not provide styling options, then the system is simple, but users cannot personalize outfits or experiment with different clothing combinations

Engineering Contradiction:

Improvesystem simplicityVSAvoidstyling options

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system provides multiple styling functions within a unified platform, including virtual try-on, outfit coordination, style transfer, and fashion advice. Users can experiment with different clothing combinations, accessories, and styling options while the system maintains a coherent and personalized fashion aesthetic, achieving versatility without sacrificing user experience simplicity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Measurement precision

If existing systems require multiple perspectives, then garment accuracy can be verified, but the process becomes tedious and requires assistance

Engineering Contradiction:

Improvegarment accuracyVSAvoidoperational convenience

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system replaces the mechanical process of capturing multiple physical perspectives with computational image processing techniques. A single photograph is processed through advanced algorithms that automatically extract garment information, analyze pose, and generate accurate virtual try-on results, substituting manual multi-angle photography with automated computer vision analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12548266B2Systems and methods for using machine learning models to effect virtual try-on and styling on actual users

Publication Date: 2026.02.10 ZELIG TECHNOLOGY LLC

AI summary

Disclosed are example embodiments of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes selecting a garment from a pre-existing database. The method also includes loading a photo of a source model wearing the selected garment. Additionally, the method includes generating a semantic segmentation of the model image. The method also includes extracting the selected garment from the photo of the model. Additionally, the method includes determining a correspondence between a target model and the source model by performing a feature point detection and description of the target model and the source model, and performing feature matching and correspondence validation. The method also includes performing garment warping and alignment of the extracted garment. Additionally, the method includes overlaying and rendering the garment.