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desAIner: Exploring the Use of ”Bad” Generative Adversarial Networks in the Ideation Process of Fashion Design

Published: 22 June 2021 Publication History

Abstract

desAIner is a creativity support tool able to assist a fashion designer in the ideation process of creating clothing through the use of a ”bad” Generative Adversarial Network (GAN). After training the GAN on a relatively small number of diverse high fashion images from popular designers’ clothing collections, the tool generates a latent space of surreal visual representations and combinations of these fashion images for designers to explore and generate fresh ideas. Using this tool, we conducted interviews with two fashion designers who used the tool and discussed how these ”bad” GANs can help them turn the creative task of designing novel clothing into a more effortless and efficient task by presenting surreal visual stimuli to incite inspiration.

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Cited By

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  • (2024)Smart "Error"! Exploring Imperfect AI to Support Creative IdeationProceedings of the ACM on Human-Computer Interaction10.1145/36373988:CSCW1(1-28)Online publication date: 26-Apr-2024
  • (2024)Integrating AIGC with design: dependence, application, and evolution - a systematic literature reviewJournal of Engineering Design10.1080/09544828.2024.2362587(1-39)Online publication date: 6-Jun-2024

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cover image ACM Conferences
C&C '21: Proceedings of the 13th Conference on Creativity and Cognition
June 2021
581 pages
ISBN:9781450383769
DOI:10.1145/3450741
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2021

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Author Tags

  1. creativity support tool
  2. fashion design
  3. generative adversarial networks

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  • Demonstration
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  • Refereed limited

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C&C '21
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C&C '21: Creativity and Cognition
June 22 - 23, 2021
Virtual Event, Italy

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Overall Acceptance Rate 108 of 371 submissions, 29%

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Cited By

View all
  • (2024)Smart "Error"! Exploring Imperfect AI to Support Creative IdeationProceedings of the ACM on Human-Computer Interaction10.1145/36373988:CSCW1(1-28)Online publication date: 26-Apr-2024
  • (2024)Integrating AIGC with design: dependence, application, and evolution - a systematic literature reviewJournal of Engineering Design10.1080/09544828.2024.2362587(1-39)Online publication date: 6-Jun-2024

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