Application and Progress of Deep Learning in 2D Virtual Try-on Technology

被引:0
|
作者
Hua, Ailing [1 ]
Yu, Feng [1 ,2 ]
Chen, Ziyi [1 ]
Wang, Hua [1 ]
Jiang, Minghua [1 ,2 ]
机构
[1] School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan,430200, China
[2] Engineering Research Center of Hubei Province for Clothing Information, Wuhan,430200, China
来源
Computer Engineering and Applications | 2023年 / 59卷 / 11期
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Deep learning - E-learning - Engineering education - Industrial research
引用
收藏
页码:37 / 45
相关论文
共 6 条
  • [1] Virtual exhibitions on the web: From a 2D map to the virtual world
    Gervasi, Osvaldo
    Caprini, Luca
    Maccherani, Gabriele
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, 7971 LNCS (PART 1): : 708 - 722
  • [2] The Application of Natural Language Processing Technology Based on Deep Learning in Japanese Sentiment Analysis
    Zhang, Xuanxuan
    IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023, 2023,
  • [3] Displacement vector measurement using 2D modulation by virtual hyperbolic beam forming
    University of Tsukuba, Japan
    不详
    不详
    不详
    不详
    IEEJ Trans. Electron. Inf. Syst., 3 (460-467+14):
  • [4] X-ray phase contrast imaging model: application on tomography with a single 2D phase grating
    Stolidi, Adrien
    Touron, Anthony
    Escoda, Julie
    Costin, Marius
    e-Journal of Nondestructive Testing, 2022, 27 (03):
  • [5] High-Throughput Computational Screening and Machine Learning Modeling of Janus 2D III-VI van der Waals Heterostructures for Solar Energy Applications
    Sa, Baisheng
    Hu, Rong
    Zheng, Zhao
    Xiong, Rui
    Zhang, Yinggan
    Wen, Cuilian
    Zhou, Jian
    Sun, Zhimei
    Chemistry of Materials, 2022, 34 (15): : 6687 - 6701
  • [6] 4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: A case study of Hartsfield–Jackson Atlanta International Airport (ATL)
    Shafienya, Hesam
    Regan, Amelia C.
    Transportation Research Part C: Emerging Technologies, 2022, 144