Garment Wear Pattern Generation Using Design Model

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Solution Overview

Problem

Apparel designers face inefficiencies in creating realistic wear patterns for distressed finishes on garments, requiring extensive time to find and extract patterns from existing distressed garments, and existing methods lack automation for generating photorealistic, novel designs.

Innovation Solution

A system and method utilizing a processor to train a design model on relationships between non-computer-generated garment design information and wear patterns, allowing for the generation of photorealistic wear patterns based on designer inputs, which can be applied to garments using distressing machines like lasers or other methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If designers extract wear patterns from existing distressed garments, then realistic wear patterns can be obtained, but the process requires extensive time and effort to find and extract patterns

Engineering Contradiction:

Improverealism of wear patternVSAvoidtime to find and extract patterns

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system creates digital copies of wear patterns from reference images using image processing algorithms. Instead of manually extracting patterns from physical garments, the system digitally replicates wear pattern characteristics from photographs, significantly reducing the time required while maintaining visual fidelity to realistic distressed appearances

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces manual mechanical extraction processes with automated computer-based image processing and machine learning systems. The system uses algorithms to automatically analyze reference images, identify wear pattern regions, and generate applicable patterns, eliminating the need for manual physical garment examination and pattern transfer

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If designers manually create wear patterns, then control over aesthetic is maintained, but the process lacks automation and efficiency

Engineering Contradiction:

Improvecontrol over aestheticVSAvoidefficiency of pattern creation

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system provides dynamic control mechanisms where designers can adjust parameters such as wear intensity, pattern density, and distribution characteristics. The automated system responds to these dynamic inputs by generating corresponding wear patterns, allowing aesthetic control while maintaining high productivity through computer-based parameter adjustment rather than manual design

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent enables control over wear pattern aesthetics by allowing designers to modify specific parameters such as distress level, pattern concentration, and affected garment regions. The system processes these parameter changes automatically to generate customized wear patterns, combining computational efficiency with design control

Inventive Principle:

Principle #35Parameter changes

3Ease of manufacture

If a library of distressed garments is maintained, then pattern extraction is possible, but the system lacks ability to generate novel designs

Engineering Contradiction:

Improveavailability of reference patternsVSAvoidgeneration of novel designs

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary analysis of reference garment images to extract wear pattern characteristics, storing these as digital data. This preliminary processing enables subsequent generation of novel designs by combining and transforming extracted features, rather than requiring physical libraries of distressed garments for each new design project

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces a computational intermediary system that processes reference images through image processing and machine learning algorithms. This intermediary transforms physical or photographic references into digital pattern data that can be creatively recombined and modified to generate novel wear patterns not directly copied from any single reference garment

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20230153493A1Systems and methods for creating patterns on garments

Publication Date: 2023.05.18 JEANOLOGIA S L

AI summary

There are disclosed systems for creating patterns on garments including a memory storing an executable logic, a processor executing the executable logic to receive a non-computer-generated input, receive a non-computer-generated garment design information, learn a relationship between the designer input and the non-computer-generated garment design information, generate a garment wear pattern based on the design model and a designer input, determine, using the design model, that the generated garment wear pattern is one of a computer-generated wear pattern and a non-computer-generated wear pattern, adjust a network weight of a relationship between the non-computer-generated input and the based on the non-computer-generated garment design information to produce a more realistic wear pattern, receive a designer input, generate a garment wear pattern based on the design model and the designer input, and transmit the generated garment wear pattern for application to a garment.