Deepwear: a case study of collaborative design between human and artificial intelligence

N Kato, H Osone, D Sato, N Muramatsu… - Proceedings of the twelfth …, 2018 - dl.acm.org
Deep neural networks (DNNs) applications are now increasingly pervasive and powerful.
However, fashion designers are lagging behind in leveraging this increasingly common …

Generation of fashionable clothes using generative adversarial networks: A preliminary feasibility study

M Singh, U Bajpai, VV, S Prasath - International Journal of Clothing …, 2020 - emerald.com
Purpose There are various style options available when one buys clothes on online
shopping websites, however the availability the new fashion trends or choices require …

Fitgan: fit-and shape-realistic generative adversarial networks for fashion

S Pecenakova, N Karessli… - 2022 26th international …, 2022 - ieeexplore.ieee.org
Amidst the rapid growth of fashion e-commerce, remote fitting of fashion articles remains a
complex and challenging problem and a main driver of customers' frustration. Despite the …

Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements

J Shi, H Zhang, D Zhou, Z Zhang - Proceedings of the 31st ACM …, 2023 - dl.acm.org
Traditional fashion design typically requires the expertise of designers, which limits the
involvement of ordinary users during the design process. While it would be desirable for …

Toward intelligent fashion design: A texture and shape disentangled generative adversarial network

H Yan, H Zhang, J Shi, J Ma, X Xu - ACM Transactions on Multimedia …, 2023 - dl.acm.org
Texture and shape in fashion, constituting essential elements of garments, characterize the
body and surface of the fabric and outline the silhouette of clothing, respectively. The …

Outfitgan: Learning compatible items for generative fashion outfits

M Moosaei, Y Lin, A Akhazhanov… - Proceedings of the …, 2022 - openaccess.thecvf.com
Fashion-on-demand is becoming an important concept for fashion industries. Many attempts
have been made to leverage machine learning methods to generate fashion designs …

ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks

Q Wu, B Zhu, B Yong, Y Wei, X Jiang, R Zhou… - Connection …, 2021 - Taylor & Francis
Clothing is one of the symbols of human civilisation. Clothing design is an art form that
combines practicality and artistry. The Dunhuang clothes culture has a long history which …

Inspiration transfer for intelligent design: A generative adversarial network with fashion attributes disentanglement

H Yan, H Zhang, J Shi, J Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traditional fashion design is heavily dependent on the talent and inspiration of designers.
However, for inexperienced designers or common consumers, it is difficult to complete the …

Design: Design inspiration from generative networks

O Sbai, M Elhoseiny, A Bordes… - Proceedings of the …, 2018 - openaccess.thecvf.com
Can an algorithm create original and compelling fashion designs to serve as an inspirational
assistant? To help answer this question, we design and investigate different image …

Gans-based clothes design: Pattern maker is all you need to design clothing

N Kato, H Osone, K Oomori, CW Ooi… - Proceedings of the 10th …, 2019 - dl.acm.org
Machine learning have been recently applied to multiple areas, including fashion. Fashion
design by generated images makes it possible to inherit design without fashion designer …