UVIRT—Unsupervised Virtual Try-on Using Disentangled Clothing and Person Features

Tsunashima, Hideki; Arase, Kosuke; Lam, Antony; Kataoka, Hirokatsu

doi:10.3390/s20195647

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…A virtual try-on is the capacity to superimpose objects (e.g., apparel) onto someone realistically. Due to its significance to the multi-billion-dollar e-commerce industry, the issue has attracted considerable attention recently [16]. Stakeholders have been testing using digital humans in fashion using the evolutions in AI, VR, and AR.…”

Section: Virtual Try-onmentioning

confidence: 99%

Consumers’ Experience and Satisfaction Using Augmented Reality Apps in E-Shopping: New Empirical Evidence

Voicu,

Sîrghi,

Toth

2023

Applied Sciences

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As more consumers adopt virtual try-on apps, shops can offer their goods at any time. Optimizing the online presence of e-tailers is based on technological advances, especially in mobile networks and augmented reality (AR) and virtual reality (VR) apps. This paper examines the factors influencing consumers’ experience and satisfaction using AR apps in makeup e-shopping. We employed constructs from models based on the stimulus–organism–response (SOR) paradigm as a starting point for our research. We added fit confidence, social value, and innovativeness, used in similar research on AR apps, to the continued usage intention, perceived utilitarian value, immersion, and perceived hedonistic value. Our research used the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach from SmartPLS 4 for an online questionnaire. We obtained that all parameters impact consumers’ intention to utilize AR applications. Considering the total effect (direct and indirect), the order of influence is as follows: fit confidence, innovativeness, immersion, social value, perceived hedonistic value, and perceived utilitarian value. This paper’s key findings demonstrate that social value, fit assurance, perceived utilitarian value, and immersion are the most significant direct influences on customer behavior using AR apps in makeup e-shopping.

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Section: Virtual Try-onmentioning

confidence: 99%

Consumers’ Experience and Satisfaction Using Augmented Reality Apps in E-Shopping: New Empirical Evidence

Voicu,

Sîrghi,

Toth

2023

Applied Sciences

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“…Virtual reality technology based on static images can be viewed and browsed on any ordinary home computer [28].…”

Section: The Meaning and Basic Concepts Of Static Imagesmentioning

confidence: 99%

Development and Analysis of Educational Virtual Reality System Using Static Image

Zhang

2022

Mobile Information Systems

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With the rapid improvement of computer hardware performance, the price of computer and its ancillary equipment is also reduced. Virtual reality technology is a method of simulating the real world through the use of computers. It can meet the needs of situational and natural learning media interaction; so, it has a huge application potential in the field of education. Life is altered by technological advancements. The advent of virtual reality technology has opened up new avenues for traditional education. Its inception allows for the advancement and innovation of traditional teaching tools. Simultaneously, as a new teaching aid, it plays an important role in piquing students’ interest in learning and improving teaching effectiveness. In terms of simulation, it creates a three-dimensional world for users to interact with and reflect changes in physical objects in real time. Participants can get a sense of direct participation and exploration of the role and change of virtual objects in their environment by engaging in realistic perceptual behaviors such as viewing, listening, touching, and touching.

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“…Neck landmark actually contains four key points, two lateral neck points, one anterior neck point, and one cervical point. In this paper, two lateral cervical points are extracted by using the obtained shoulder points, and then, the anterior cervical point and cervical point are extracted [17]. Taking the left cervical point as an example, the specific steps are as follows:…”

Section: Neck Point Extractionmentioning

confidence: 99%

Virtual Design Method of Customized Clothing Based on Three-Dimensional Image

Hou

2022

Mobile Information Systems

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Because the traditional virtual design \method of customized clothing has the problems of poor matching between the designed clothing and the user’s body shape and long design time, a virtual design method of customized clothing based on a three-dimensional image is proposed. Through the way of camera imaging, the three-dimensional human model is established by the linear regression method, and the three-dimensional point cloud image of the human body is obtained. The three-dimensional human key points are extracted by shoulder point extraction, neck point extraction, elbow point extraction, and crotch bottom point extraction. According to the key point extraction results, the customized clothing is registered with the three-dimensional human model. The simulation results show that the proposed method has good matching with the user’s body shape and short design time.

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UVIRT—Unsupervised Virtual Try-on Using Disentangled Clothing and Person Features

Cited by 7 publications

References 34 publications

Consumers’ Experience and Satisfaction Using Augmented Reality Apps in E-Shopping: New Empirical Evidence

Consumers’ Experience and Satisfaction Using Augmented Reality Apps in E-Shopping: New Empirical Evidence

Development and Analysis of Educational Virtual Reality System Using Static Image

Virtual Design Method of Customized Clothing Based on Three-Dimensional Image

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