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A Teaching Framework Based on Big Data of Students’ Learning Behaviors: A Case Study of Academic Performance Prediction Read chapter Read first chapter

2023 | OriginalPaper | Chapter

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

Authors : Qi Hu, Baohua Li

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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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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Metadata
Title
Application of Deep Learning Hierarchical Perception Technology in 3D Fashion Design
Authors
Qi Hu
Baohua Li
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Frontier Computing

Print ISBN: 978-981-9914-27-2

Electronic ISBN: 978-981-9914-28-9

Copyright Year: 2023

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