TY  - JOUR
TI  - Digital design of regional characteristic apparel pattern driven by GAN
AU  - HAN CHEN
AU  - LEI SHEN
AU  - XIYING ZHANG
AU  - XIANGFANG REN
AU  - MINGMING WANG
AU  - XUE MIN
AU  - XUE LI
T2  - Industria Textila
AB  - In the links of apparel product development and production, apparel pattern design cannot reduce its marginal cost through economies of scale because of its creative characteristics. With the world entering the era of industry 4.0, machine learning can provide services for apparel design. This research takes the Chinese characteristic tachisme pattern as the research object and puts forward a new design method of regional characteristic apparel pattern driven by Generative Adversarial Networks (GAN). Firstly, the main framework based on GAN including discrimination and generation modules is established. Aiming at the training difficulties of regional characteristic apparel pattern sample situation with small quantity and disordered specification, the image self-amplification and normalization pre-processing module is added to the model. Secondly, by adding the Batch Normalization mechanism, Leaky ReLU and RMSProp algorithm, the problems of gradient disappearance and overfitting in the experiment are solved, and the convergence speed of the model is improved. Finally, the HSV colour model algorithm is introduced into the loss function to indicate the training process, so that the artistic expression characteristics of the generated results are closer to the human visual perception experience. Through index evaluation comparison, result authenticity investigation and product design practice, we prove the superiority and practicality of the proposed method in this paper. The new design method theoretically solves the scale economy dilemma of the previous apparel pattern design methods and provides reference ideas for more application scenarios currently trapped in the real-time presentation of design results.
DO  - 10.35530/IT.073.03.202117
VL  - 73
IS  - 3
SP  - 233
EP  - 240
LA  - English
SN  - 1222-5347
UR  - http://revistaindustriatextila.ro/images/2022/3/002%20HAN%20CHEN%20Industria%20Textila%203_2022.pdf
ER  -