@article{DannerBrakeKoseletal.2024,
  author    = {Danner, Michael and Brake, Elena and Kosel, Gabriela and Kyosev, Yordan and Rose, Katerina and R{\"a}tsch, Matthias and Cebulla, Holger},
  title     = {AI-assisted pattern generator for garment design},
  journal   = {Communications in development and assembling of textile products},
  volume    = {5},
  number    = {2},
  issn      = {2701-939X},
  doi       = {10.25367/cdatp.2024.5.p195-206},
  institution = {Technik},
  pages     = {195 -- 206},
  year      = {2024},
  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.},
  language  = {en}
}