纺织学报 ›› 2023, Vol. 44 ›› Issue (06): 183-190.doi: 10.13475/j.fzxb.20220408001

• 服装工程 • 上一篇    下一篇

虚拟服装迁移在个性化服装定制中的应用

叶勤文1,2,3, 王朝晖1,2,3(), 黄荣4, 刘欢欢1,2,3, 万思邦1,2,3   

  1. 1.东华大学 服装与艺术设计学院, 上海 200051
    2.现代服装设计与技术教育部重点实验室(东华大学), 上海 200051
    3.上海市纺织智能制造与工程一带一路国际联合实验室, 上海 200051
    4.东华大学 信息科学与技术学院, 上海 201620
  • 收稿日期:2022-04-26 修回日期:2022-12-01 出版日期:2023-06-15 发布日期:2023-07-20
  • 通讯作者: 王朝晖
  • 作者简介:叶勤文(1994—),男,博士生。主要研究方向为服装先进制造。
  • 基金资助:
    上海市科学技术委员会“科技创新行动计划”“一带一路”国际合作项目(21130750100)

Application of virtual garment transfer in garment customization

YE Qinwen1,2,3, WANG Zhaohui1,2,3(), HUANG Rong4, LIU Huanhuan1,2,3, WAN Sibang1,2,3   

  1. 1. College of Fashion and Design, Donghua University, Shanghai 200051, China
    2. Key Laboratory of Clothing Design & Technology, Ministry of Education, Donghua University, Shanghai 200051, China
    3. Shanghai Belt and Road Joint Laboratory of Textile Intelligent Manufacturing, Shanghai 200051, China
    4. College of Information Science and Technology, Donghua University, Shanghai 201620, China
  • Received:2022-04-26 Revised:2022-12-01 Published:2023-06-15 Online:2023-07-20
  • Contact: WANG Zhaohui

摘要:

为解决服装定制中个性化服装开发效率低以及虚拟试衣过程繁琐等问题,首先,详细阐明了三维服装软件CLO 3D和Marvelous Designer的虚拟服装迁移原理;其次,结合CLO 3D的虚拟服装迁移和自动转换虚拟模特功能,提出了一套针对三维扫描人体的个性化服装定制方案;最后,采用三维扫描人体开展虚拟服装迁移实验,验证了该方案在实际个性化服装定制应用中的可行性。研究结果表明:针对不同体型的三维扫描人体,可快速生成个性化虚拟服装、个性化样板和展示个性化虚拟试衣效果;生成的虚拟服装能够满足不同体型的个性化需求。该方法可提高个性化虚拟服装开发效率,为个性化服装定制提供技术支持。

关键词: 虚拟服装, 虚拟服装迁移, 三维扫描人体, 数字化模特, 虚拟试衣, 服装定制

Abstract:

Objective Design-preserving virtual garment transfer can transfer a garment from one body to another, which is significant for garment customization. However, most current research on virtual garment transfer only focuses on generating personalized 3-D garments rather than 2-D patterns and cannot be used for 3-D scanned human bodies. To address this issue, we propose a garment customization solution for 3-D scans based on design-preserving virtual garment transfer. Given a source garment worn on a source body, this research aims to obtain the target garments and patterns for a 3-D scan and show the final virtual fitting result of the target garment.
Method Firstly, the principle of virtual garment transfer of CLO 3-D and Marvelous Designer software is clarified in detail. Secondly, a method for generating personalized 3D garments and 2-D patterns for the 3-D scanned human bodies is proposed in combination with virtual garment transfer and the "Auto-convert-to-avatar" of CLO 3-D. Finally, the feasibility of this method in actual garment customization is verified by performing virtual garment transfer experiments with scanned human bodies.
Results In order to explore the difference in results between the two virtual garment transfer methods, two experiments were conducted and the results demonstrated that the method of using the default virtual avatar in CLO 3D or Marvelous Designer worked better than "Create fitting suit" when performing virtual garment transfer (Fig. 4). For the 3-D scanned human body, we proposed a personalized garment customization solution (Fig. 6). The virtual garment transfer for the 3-D scan was divided into three main steps. First, we used the CLO 3D default avatar to fit the scan and obtained the converted avatar based on the "Auto-convert-to-avatar " function of CLO 3D. Second, we obtained the transferred garment by transforming the source garment from the source body to the converted avatar. Finally, we fitted the transferred garment onto the scan and obtained the final virtual fitting effect. To verify the effectiveness of our proposed personalized garment customization solution, we scanned four young males with 3-D scanning and then obtained the corresponding converted avatars. For convenience, we denoted the scans as SA, SB, SC, SD and the converted avatars as CA, CB, CC, CD, respectively. According to our solution, we quickly obtained the transferred 3-D garment and corresponding 2-D patterns. The experimental results showed that the garments obtained by virtual garment transfer could meet the personalized requirements for different body shapes and sizes of the 3-D scanned human body (Fig. 10). In addition, the transferred patterns can satisfy the needs of actual garment production (Fig. 11).
Conclusion In this paper, we have proposed a personalized garment customization solution for a 3-D scanned human body based on design-preserving virtual garment transfer. For the 3-D scanned human body, our method was available for generating personalized 3-D garments and the corresponding 2-D patterns while also showing the final wearing effect of the transferred garment on the scan. The scheme's feasibility for actual garment customization was verified by conducting virtual garment transfer experiments with 3-D scans. The transferred 3-D garments can fit the scans well, and the transferred 2-D pattern can satisfy the needs of actual garment production. The method described in this paper was quick and effective for creating personalized 3-D garments and 2-D patterns. As a result, it can significantly improve the efficiency of customized garment development and facilitate garment customization in the apparel industry. In practical applications, creating a new style of 3-D garment is only necessary. Our proposed method allows personalized 3-D garments and corresponding 2-D patterns to be quickly obtained for 3-D scanned bodies of different sizes and shapes. In future work, how to optimize the existing personalized garment customization solutions is a topic worthy of in-depth study.

Key words: virtual garment, virtual garment transfer, 3-D scanned human body, digital avatar, virtual fitting, garment customization

中图分类号: 

  • TS941.2

图1

虚拟服装迁移"

图2

CLO 3D虚拟服装迁移流程"

图3

Marvelous Designer虚拟服装迁移流程"

图4

实验1与实验2虚拟服装迁移结果"

图5

CLO 3D自动转换虚拟模特"

图6

三维扫描人体虚拟服装迁移流程"

图7

个性化样板生成"

图8

三维扫描人体及其转换虚拟模特"

图9

源人体与源服装"

图10

迁移服装虚拟试衣效果"

图11

个性化样板对比图"

[1] 王朝晖, 吴雨曦, 杨敏. 基于三维测量数据的个性化女装原型样板生成[J]. 纺织学报, 2019, 40(9): 143-149.
WANG Zhaohui, WU Yuxi, YANG Min. Development of personalized female prototype based on three-dimensional measurement data[J]. Journal of Textile Research, 2019, 40(9): 143-149.
[2] 娄少红. 基于 AutoCAD 参数化功能的 A 型裙样板自动化生成[J]. 纺织学报, 2020, 41(1): 131-138.
LOU Shaohong. Automatic generation of A-type skirt model based on AutoCAD parametric function[J]. Journal of Textile Research, 2020, 41(1): 131-138.
[3] 叶勤文, 张皋鹏. 基于 AutoCAD 参数化的个性化服装纸样生成[J]. 纺织学报, 2019, 40(4): 103-110.
YE Qinwen, ZHANG Gaopeng. Generation of personalized garment pattern based on AutoCAD parameterization[J]. Journal of Textile Research, 2019, 40(4): 103-110.
[4] BERTOLA P, TEUNISSEN J. Fashion 4.0. innovating fashion industry through digital transformation[J]. Research Journal of Textile and Apparel, 2018, 22(4): 352-369.
doi: 10.1108/RJTA-03-2018-0023
[5] KANG Y H, OH J Y, KIM S M. Development of parametric garment pattern design system[J]. International Journal of Clothing Science and Technology, 2021, 33(5): 724-739.
doi: 10.1108/IJCST-07-2020-0114
[6] YAN J Q, KUZMICHEV V E. A virtual e-bespoke men's shirt based on new body measurements and method of pattern drafting[J]. Textile Research Journal, 2020, 90(19/20): 2223-2244.
doi: 10.1177/0040517520913347
[7] LIU K X, ZENG X Y, BRUNIAUX P, et al. 3D interactive garment pattern-making technology[J]. Computer-Aided Design, 2018, 104: 113-124.
doi: 10.1016/j.cad.2018.07.003
[8] UMETANI N, KAUFMAN D M, IGARASHI T, et al. Sensitive couture for interactive garment modeling and editing[J]. ACM Transactions on Graphics, 2011, 30(4): 1-12.
[9] GUAN P, REISS L, HIRSHBERG D A, et al. Drape: Dressing any person[J]. ACM Transactions on Graphics, 2012, 31(4): 1-10.
[10] BROUET R, SHEFFER A, BOISSIEUX L, et al. Design preserving garment transfer[J]. ACM Transactions on Graphics, 2012, 31(4): 1-11.
[11] 石敏, 魏育坤, 王俊铮, 等. 面向不同体型特征的服装款式迁移方法[J]. 图学学报, 2019, 40(5): 866-871.
SHI Min, WEI Yukun, WANG Junzheng, et al. Transfer method of body shape-oriented garment style[J]. Journal of Graphics, 2019, 40(5): 866-871.
[12] JING B C. Feature-based garment model transfer[D]. Hongkong: Hong Kong University of Science and Technology, 2017: 18-26.
[13] CAI H Z, SHI G Y, GAO C Y, et al. Automatic 3D garment fitting based on skeleton driving[C]// HONG R C, CHENGW H, YAMASAKIT, et al. Advances in Multimedia Information Processing - PCM 2018. Cham: Springer International Publishing, 2018: 267-277.
[14] JIANG L G, YE J T, SUN L M, et al. Transferring and fitting fixed-sized garments onto bodies of various dimensions and postures[J]. Computer-Aided Design, 2019, 106: 30-42.
doi: 10.1016/j.cad.2018.08.002
[15] SHI G Y, GAO C Y, WANG D, et al. Automatic 3D virtual fitting system based on skeleton driving[J]. The Visual Computer, 2021, 37(5): 1075-1088.
doi: 10.1007/s00371-020-01853-1
[16] NARITA F, FUKUSATO T, SAITO S, et al. Quasi-developable garment transfer for animals[C]// DIEGO G. SIGGRAPH Asia 2017 Technical Briefs. New York: Association for Computing Machinery, 2017: 1-4.
[17] WANG T F Y, CEYLAN D, POPOVIC J, et al. Learning a shared shape space for multimodal garment design[J]. ACM Transactions on Graphics, 2018, 37(6): 1-13.
[18] SHI M, WEI Y K, CHEN L, et al. Learning a shared deformation space for efficient design-preserving garment transfer[J]. Graphical Models, 2021. DOI:10.1016/j.gmod.2021.101106.
doi: 10.1016/j.gmod.2021.101106
[19] ZHANG D D, KRZYWINSKI S. Development of a kinematic human model for clothing and high performance garments[C]// NICOLA D. Proceedings of 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. Lugano: Hometrica Consulting, 2019: 68-73.
[20] ZHANG D D, KRZYWINSKI S. Development of a kinematic human model for clothing design/simula-tion[C]// PAUL K. Proceedings of the AUTEX2019-19th World Textile Conference on Textiles at the Crossroads. Ghent, Autex, 2019: 11-15.
[1] 鲁虹, 宋佳怡, 李圆圆, 滕峻峰. 基于合体两片袖的内旋造型结构设计[J]. 纺织学报, 2022, 43(08): 140-146.
[2] 王春茹, 袁月, 曹晓梦, 范依琳, 钟安华. 立领结构参数对服装造型的影响[J]. 纺织学报, 2022, 43(03): 153-159.
[3] 张益洁, 李涛, 吕叶馨, 杜磊, 邹奉元. 服装松量设计及表征模型构建研究进展[J]. 纺织学报, 2021, 42(04): 184-190.
[4] 冀艳波, 王玲丽, 刘凯旋. 基于数字化三维人体模型的旗袍定制设计[J]. 纺织学报, 2021, 42(01): 133-137.
[5] 李浩, 顾力文, 顾雯, 刘晓刚. 基于消费者感知价值的线上线下服装定制模式[J]. 纺织学报, 2020, 41(09): 128-135.
[6] 陈咪, 叶勤文, 张皋鹏. 斜裁裙参数化结构模型的构建[J]. 纺织学报, 2020, 41(07): 135-140.
[7] 夏海浜, 黄鸿云, 丁佐华. 基于迁移学习与支持向量机的服装舒适度评估[J]. 纺织学报, 2020, 41(06): 125-131.
[8] 于小利, 金娟凤, 黄珍珍, 闾慧珠. 面向中小型服装企业的个性化定制订单管理体系构建[J]. 纺织学报, 2020, 41(06): 132-140.
[9] 于欣禾, 王建萍. 互联网环境下男衬衫定制顾客感知价值评价方法[J]. 纺织学报, 2020, 41(03): 136-142.
[10] 许倩, 陈敏之. 基于深度学习的服装丝缕平衡性评价系统[J]. 纺织学报, 2019, 40(10): 191-195.
[11] 方贵盛. 基于草绘的服装衣片设计[J]. 纺织学报, 2013, 34(5): 133-139.
[12] 杨刚;;钟跃崎;. 基于同层穿透补偿的扫描服装模型的重用性[J]. 纺织学报, 2010, 31(10): 134-138.
[13] 陆永良<sup></sup>李汝勤<sup></sup>胡金莲<sup></sup>. 虚拟服装的发展历史和现状[J]. 纺织学报, 2005, 26(1): 132-134.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!