AI-assisted Pattern Generator for Garment Design

This paper introduces an AI-assisted pattern generator, aimed to simplify garment design by flattening the pattern creation in an automated process from 3D scans for users without knowledge of conventional pattern construction. This garment tool plug-in computerizes the development of scanned persons into 3D shell surface meshes, which are automatically unwrapped into 2D patterns, streamlining the traditionally complex aspects of garment design for novices. The process uses advanced AI algorithms to facilitate the conversion of 3D scans into usable patterns. Machine learning adapts to different garment styles (close-fitting, regular fit and loose-fitting), ensuring a broad applicability, while customization options allow a precise adaption to individual body measurements. This AI-assisted tool enables a wider audience to generate customized garment creation.

Authors

Institutions

Publication Details

Journal
Communications in development and assembling of textile products
Published
2024-12-29
DOI
https://doi.org/10.25367/cdatp.2024.5.p195-206
Citations
4
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-assisted Pattern Generator for Garment Design

Michael Danner, Gabriela KOSEL, Elena Alida BRAKE, Matthias Rätsch et al.
4 citations
Communications in development and assembling of textile products
Manufacturing Process and Optimization
1.40
article

AI-assisted Pattern Generator for Garment Design

Michael Danner, Gabriela KOSEL, Elena Alida BRAKE, Matthias Rätsch, Holger Cebulla, Katerina Rose, Yordan Kyosev
article en
4 citations

Abstract

This paper introduces an AI-assisted pattern generator, aimed to simplify garment design by flattening the pattern creation in an automated process from 3D scans for users without knowledge of conventional pattern construction. This garment tool plug-in computerizes the development of scanned persons into 3D shell surface meshes, which are automatically unwrapped into 2D patterns, streamlining the traditionally complex aspects of garment design for novices. The process uses advanced AI algorithms to facilitate the conversion of 3D scans into usable patterns. Machine learning adapts to different garment styles (close-fitting, regular fit and loose-fitting), ensuring a broad applicability, while customization options allow a precise adaption to individual body measurements. This AI-assisted tool enables a wider audience to generate customized garment creation.

Communications in development and assembling of textile productsVol. 5(2)
Chemnitz University of Technology (DE), Kyushu International University (JP), Reutlingen University (DE), Technische Universität Dresden (DE)
Openalex Percentile: Top 16%
Manufacturing Process and Optimization
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.