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Application of Deep Learning Hierarchical Perception Technology in 3D Fashion Design

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Frontier Computing (FC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1031))

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Abstract

Deep learning layered perception technology is the most important part of 3D fashion design, which can be used to create 3D models. Deep learning algorithms will help designers find out what clothes and accessories are suitable for their customers. It will also help them make more accurate decisions in designing clothing and accessories through the use of data analysis. 3D fashion design is a new trend in the field of industrial design. 3D fashion design has the following advantages: 1 High quality and low cost; 2. Mass production, suitable for mass production; 3. It can be used to produce all kinds of clothing and accessories, so it has great application prospects in clothing industry, footwear industry and other industries that need high-quality products.

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Correspondence to Qi Hu .

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Hu, Q., Li, B. (2023). Application of Deep Learning Hierarchical Perception Technology in 3D Fashion Design. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_192

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  • DOI: https://doi.org/10.1007/978-981-99-1428-9_192

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1427-2

  • Online ISBN: 978-981-99-1428-9

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