Purpose As an ancient art form, embroidery has strong practicality and artistic value. However, current embroidery style migration models produce images with unclear textures and a lack of stitch detail. So, in this paper, we propose a cyclic consistent embroidery style migration network with texture constraints, which is called Texture Cycle GAN (TCGAN). Design/methodology/approach The model is based on the existing Cycle GAN network with an additional texture module. This texture module is implemented using a pre-trained Markovian adversarial network to synthesize embroidery texture features. The overall algorithm consists of two generative adversarial networks (for style migration) and the Markovian adversarial network (for texture synthesis). Findings Qualitative and quantitative experiments show that, compared with the existing convolutional neural network style transfer algorithm, the introduction of the texture-constrained embroidery style transfer model TCGAN can effectively learn the characteristics of style images, generate digital embroidery works with clear texture and natural stitches and achieve more realistic embroidery simulation effects. Originality/value By improving the algorithm for image style migration and designing a reasonable loss function, the generated embroidery patterns are made more detailed, which shows that the model can improve the realism of embroidery style simulation and help to improve the standard of embroidery craftsmanship, thus promoting the development of the embroidery industry.

Chengxia Liu

Jiawen Gu

Lan Yao

Ying Zhang

International Journal of Clothing Science and Technology

涵盖服装客观测量技术、纤维和织物控制、CAD系统、产品测试、缝纫、机织和针织、检验系统、悬垂和整理等科学技术的各个方面。学术和工业研究成果发表后进行了严格审查。

This journal covers various aspects of clothing science and technology, including objective measurement techniques, fiber and fabric control, computer-aided design (CAD) systems, product testing, sewing, woven and knitted fabrics, inspection systems, draping, and finishing. All academic and industrial research findings undergo rigorous review before publication.

本期刊涵盖了服装科学与技术的各个方面，包括客观测量技术、纤维和织物控制、计算机辅助设计（CAD）系统、产品测试、缝纫、机织和针织、检验系统、悬垂和整理等。所有学术和工业研究成果在发表前均经过严格的审查。

Category	Quartile
工程技术	4
工程技术, 材料科学纺织	3

Research on embroidery style migration model based on texture cycle GAN

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info

Category	Quartile
MATERIALS SCIENCE, TEXTILES	3