• Fashion & Textile Research Journal
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• v.14 no.1
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• pp.83-89
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• 2012

Recent rapid development of computer, information communication and Web service technologies is exerting considerable effects on all industrial areas. As such digital technologies are also introduced to the clothing and fashion industry and create 'virtual garment environment' consisting of 3D virtual bodies, virtual garments and virtual try-on systems, consumers are now able to try virtual garments on their virtual body online. This study was conducted in order to analyze consumers' tendency of clothing purchase using 3D virtual simulation technology, which is increasing attention throughout the world, and to propose strategies on the development of virtual try-on technology for activating apparel online shopping. The subjects of this study were men and women aged 18 or older living in the North Carolina State, U.S., and a questionnaire survey was conducted with them on their tendency of apparel online shopping and their preference for real garments and virtual garments. According to the results of this study, consumers' awareness of apparel shopping using virtual try-on was still low. Moreover, in the results of surveying consumers' purchase preference for real garments and virtual garments, preference was highest for real garment (P), which was followed by virtual garments OA, OB and BB. Based on the results of this study, for the activation of apparel online shopping using virtual simulation technology, it is considered necessary to provide services implementing virtual try-on similar to consumers' actual try-on. This requires further active research and technology development on virtual try-on simulation using digital technologies.

• Korean Journal of Human Ecology
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• v.18 no.3
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• pp.719-727
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• 2009

The ultimate success of commercial applications of body scan data in the apparel industry will be consumers' substantial applications such as automated custom fit, size prediction, virtual try-on, personal shopper services (Loker, S. et al., 2004). In this study, we surveyed fifty consumers and forty-seven apparel industry workers about their recognition and interest in 3D body scanning and virtual try-on. The results are as follows: 55% of the apparel industry workers has recognized 3D body scanning as a convenient technology, but do not know how to use it. To the questions regarding virtual try-on, 53% of the workers give positive answers. The consumers have a more positive view on virtual try-on than the workers do. The workers predict that the application of 3D body scan technology to the apparel industry could offer customers helpful information in their clothing selection by using virtual images of various size and style, and increase mass production of MTM(Made-To-Measure). The answers from the male consumers in their twenties indicate that virtual try-on is useful by 88% on offline shopping and by 100% on online shopping. 53% of the workers and 68% of the consumers gave answers that just by virtual try-on they could judge the quality of the apparel products and purchase them. Absolutely 3D virtual try-on is an effective tool for online shoppers. 85% of the workers anticipate applications of the 3D body scanning also in 'body measurement', 'custom pattern development' as well as 'virtual try-on' in the near future. With the positive reactions and the stimulating interests in virtual try-on, the conditions of contemporary world encourage more active researches and wide usages of the technology in apparel industry.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.186-203
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• 2020

Image-based Virtual Try-On Systems are among the most potential solution for virtual fitting which tries on a target clothes into a model person image and thus have attracted considerable research efforts. In many cases, current solutions for those fails in achieving naturally looking virtual fitted image where a target clothes is transferred into the body area of a model person of any shape and pose while keeping clothes context like texture, text, logo without distortion and artifacts. In this paper, we propose a new improved image-based virtual try-on network system based on keypoints, which we name as KP-VTON. The proposed KP-VTON first detects keypoints in the target clothes and reliably predicts keypoints in the clothes of a model person image by utilizing a dense human pose estimation. Then, through TPS transformation calculated by utilizing the keypoints as control points, the warped target clothes image, which is matched into the body area for wearing the target clothes, is obtained. Finally, a new try-on module adopting Attention U-Net is applied to handle more detailed synthesis of virtual fitted image. Extensive experiments on a well-known dataset show that the proposed KP-VTON performs better the state-of-the-art virtual try-on systems.

• The International Journal of Costume Culture
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• v.13 no.2
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• pp.118-129
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• 2010

Digital technology introduced into the clothing and fashion industry is evolving to digital virtual fashions and consumer-centered mass-customized production systems. Today the application of such 3D virtual try-on systems is being expanded gradually in the clothing industry. This study purposed to make virtual avatars and virtual garments using OptiTex and V-stitcher virtual software and compared the appearance of the virtual garments put on the virtual avatars. For this, we created virtual avatars and virtual garments using body measurements obtained from jive subjects of top jive body shapes, respectively, using $[TC]^2$ body scanner. According to the results of comparing the outcomes of the two different virtual software systems, virtual avatar II of V-Stitcher tended to have a more round and lifted hip and the waist line at a higher position. In addition, the body curves and shapes of a virtual avatar affect the appearance of virtual garments. This study applied the same body measurements to virtual avatars and the same pattern to virtual garments, but when different kinds of virtual software were used, the virtual avatars and virtual garments showed different appearance and fit. This result may mean that when customers buy apparel products using different kinds of virtual try-on systems, their evaluation of appearance can vary depending on the virtual try-on system. Therefore, research needs to be made actively for the development and use of linkage programs that can reflect actual body measurements between virtual software systems and 3D body scanning systems.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.437-444
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• 2009

According to the activation of the fashion electronic commerce, this research investigated the merits and demerits and improvement plan of the 3D virtual try-on technology using the qualitative research method. This research was performed by interview with 70 evaluation group. The evaluation group of 3D virtual try-on was organized and the fit evaluation process by 3D human body scan and the 3D virtual try-on of the i-Fashion technology center were experienced. This study was performed by interview after the actual and virtual try-on about the casual shirt. The convenience and accuracy of measurement, usability in online shopping, body evaluation, complement of sizing system, and body shape management were discovered as merits. The requirement of high accuracy in sizing and avatar, limits of fabric expression, practical limitation by cost, vexatious of measurement garment, differences between real and virtual fittings, personal information leakage risk, and etc were pointed out as demerits. The mass customization, customized garment connected with medical service, humanized avatar, improved fitting report, entertainment, coordination, wardrobe manager were proposed as improvement plan.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.128-136
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• 2014

The virtual try-on technologies of the current level have limitations with material expression as well as some difficulties with commercialization. There are differences in simulation results and subjective evaluations perceived by consumers according to the types and physical characteristics of materials used in virtual try-on simulations. This study were to analyze the exterior clothing shapes and visual images from 3D virtual try-on simulations with materials whose drapability was differentiated and then test the accuracy of the expression of the drapability of the materials. The study carried out 3D virtual try-on simulations by selecting flared skirts as an item to best express differences in drapability along with five materials of different physical properties and offered some basic data for greater utilization of virtual try-on simulations by comparing and analyzing them with the exterior shapes and visual images of actual flared skirts. The analysis results of hemline shapes between actual and virtual try-on according to the types of materials showed no match among the quantitative items of exterior shapes factors. There were no significant differences in the visual images except for "soft" according to the simulation methods, which means that the items can serve as part of a scale for visual image comparison. It is necessary to reflect quantitative numbers regarding "drapability" proposed in the study simulation software and to continue to build a systematic database for virtual simulations by investigating and testing various materials.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1184-1196
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• 2010

Several applications of body scanning technology have been commercialized or are currently under development. The virtual fit from 3D scans is most advanced form of virtual try-on. This article is an analysis of the comparison of user preferences for domestic versus foreign 3D virtual try-on systems. For this study, domestic i-Fashion Mall (www.ifashionmall.co.kr) and a Canadian company, My Virtual Model (www.mvm.com) were selected as the most representative online retailers that offer a virtual try-on system. The respondents were comprised of 70 Korean female college students in the age group 20-29. A five point Likert scale was used to evaluate the degree of the preference of virtual avatar and try-on images. T-test, cross table, and a chi-square independence test were conducted for data analysis. The results are as follow. 1. The representation about current looks according to each virtual fit image indicates that MVM is more accurate than i-Fashion Mall. 2. About decision confidence, respondents have decision confidence in i-Fashion Mall in the case of the avatar image; however, respondents have confidence in MVM or the fit image. 3. There were no significant differences in among waist size groups in accuracy, trust of each avatar image, while there were significant differences among waist size groups in the accuracy and trust of each virtual fit image. 4. About ease of use, respondents answered that i-Fashion Mall is superior to MVM. 5. The respondents prioritized the ‘fitting report’ of i-Fashion Mall and ‘Weight loss’ of MVM over other functionalities.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.33-36
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• 2020

Virtual try on is getting interested from researchers these days because its application in online shopping. But single pose virtual try on is not enough, customer may want to see themselves in different pose. Multiple pose virtual try on is getting input as customer image, an in-shop cloth and a target pose, it will try to generate realistic customer wearing the in-shop cloth with the target pose. We first generate the target segmentation layout using conditional generative network (cGAN), and then the in-shop cloth are warped to fit the customer body in target pose. Finally, all the result will be combine using a Resnet-like network. We experiment and show that our method outperforms stage of the art.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.10
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• pp.1632-1646
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• 2010

This article is an analysis of the fit preference of the knitted jacket according to body types for 30's and 40's adult women through a comparison of real and virtual fit. A five point likert scale was used to evaluate the degree of the preference of real and virtual fit. The data were analyzed with t-test and ANOVA using statistical program SPSS 17.0. The results are as follow. 1. The real and virtual fit preference of the knitted jacket according to body types indicates that respondents preferred pattern 2 for body type N than the rest of the patterns; however, respondents preferred pattern 3 for body type A and H. 2. There were no significant differences between real and virtual fit preference. 3. It is necessary that the knitted jacket follow a similar size tolerance like a woven jacket. The results show that the next generation of virtual try-on systems need the development of a minus clothing ease scale.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.25-34
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• 2019

VTON (Virtual try-on) is a key technology that can activate the online commerce of fashion items. However, the early 3D graphics-based methods require the 3D information of the clothing or the human body, which is difficult to secure realistically. In order to overcome this problem, Image-based deep-learning algorithms such as VITON (Virtual image try-on) and CP-VTON (Characteristic preserving-virtual try-on) has been published, but only a sampled results on performance is presented. In order to examine the strength and weakness for their commercialization, the performance analysis is needed according to the complexity of the clothes, the object posture and body shape, and the degree of occlusion of the clothes. In this paper, IoU and SSIM were evaluated for the performance of transformation and synthesis stages, together with non-DL SCM based method. As a result, CP-VTON shows the best performance, but its performance varies significantly according to posture and complexity of clothes. The reasons for this were attributed to the limitations of secondary geometric deformation and the limitations of the synthesis technology through GAN.