Automatic 3D virtual fitting system based on skeleton driving

Shi, Guangyuan; Gao, Chengying; Wang, Dong; Su, Zhuo

doi:10.1007/s00371-020-01853-1

Cited by 8 publications

(7 citation statements)

References 44 publications

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“…With the continuous improvement of quality of life as well as the popularity of e-commerce, the fitting system to help people virtual fitting gradually comes into view. Shi et al proposed a full-automatic 3D virtual assembly system based on the 2D whole body image and 3D garment model, constructed 3D human body model from 2D human body image input by users, and obtained that the system is stable and effective in simulation training [ 1 ]. Guo et al proposed a remote fitting system for clothing e-commerce, which can simulate the body shape of consumers through physical assembly robot and help consumers realize remote fitting [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Study on 3D Clothing Color Application Based on Deep Learning‐Enabled Macro‐Micro Adversarial Network and Human Body Modeling

Liu

Ren

Qin³

2021

Computational Intelligence and Neuroscience

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In real life, people’s life gradually tends to be simple, so the convenience of online shopping makes more and more research begin to explore the convenience optimization of shopping, in which the fitting system is the research product. However, due to the immaturity of the virtual fitting system, there are a lot of problems, such as the expression of clothing color is not clear or deviation. In view of this, this paper proposes a 3D clothing color display model based on deep learning to support human modeling-driven. Firstly, the macro-micro adversarial network (MMAN) based on deep learning is used to analyze the original image, and then, the results are preprocessed. Finally, the 3D model with the original image color is constructed by using UV mapping. The experimental results show that the accuracy of the MMAN algorithm reaches 0.972, the established three-dimensional model is emotional enough, the expression of the clothing color is clear, and the difference between the color difference and the original image is within 0.01, and the subjective evaluation of volunteers is more than 90 points. The above results show that it is effective to use deep learning to build a 3D model with the original picture clothing color, which has great guiding significance for the research of character model modeling and simulation.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Study on 3D Clothing Color Application Based on Deep Learning‐Enabled Macro‐Micro Adversarial Network and Human Body Modeling

Liu

Ren

Qin³

2021

Computational Intelligence and Neuroscience

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“…Deformation Analysis for Garment Design. Garment deformation caused by human motion is critical for both virtual fitting [Hu et al 2022;Pan et al 2022;Shi et al 2021;] and real-world clothing design [Kwok et al 2015;Sati et al 2021;Wolff et al 2022]. Therefore, existing studies have incorporated the impact of body [Pietroni et al 2022].…”

Section: Related Workmentioning

confidence: 99%

Computational Design of Wiring Layout on Tight Suits with Minimal Motion Resistance

Wang,

Xu,

Zheng

et al. 2023

SIGGRAPH Asia 2023 Conference Papers

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“…It is difficult to find clothes with a "tailor-made" effect in existing ready-to-wear specifications due to the diversity of human body shape and the complexity of human body surface [4]. At present, in the virtual fitting system used in the market, the stereoscopic effect of clothing is not ideal, the immersion of humancomputer interaction experience is poor, only the appearance of clothing can be displayed, the factors such as clothing fabric, texture, and drape effect cannot be well expressed, the scaling coefficient of clothing cannot be automatically changed according to the user's body shape characteristics, and the gesture operation is complicated, so the experience effect is poor [5].…”

Section: Introductionmentioning

confidence: 99%

CLO3D-Based 3D Virtual Fitting Technology of Down Jacket and Simulation Research on Dynamic Effect of Cloth

Huang

2022

Wireless Communications and Mobile Computing

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A 3D virtual fitting system for down jackets based on CLO3D is proposed and implemented in this paper. CLO3D system realizes virtual fitting, including three-dimensional body modeling, parametric punching, three-dimensional virtual sewing fitting, fabric texture attribute setting, and dynamic display, which realizes the design and realization of display. The clothing deformation algorithm based on human input posture is used to deform the clothing model, which presents the physical characteristics of virtual clothing more truly. At the same time, the image acquisition equipment is used to obtain the real-life image, and the clothing image transfer algorithm is used to superimpose the virtual clothes and the real-life image. The position of human joints is obtained by feature extraction technology, and the scaling ratio of the virtual clothes is calculated so that the virtual clothes are closely combined with the real-life image. Compared with similar virtual fitting systems in the industry, the information processing process of this system is more intelligent, the interaction is more natural, and the fitting effect is more realistic. We make every effort to make the virtual fitting system reduce the gap between virtual and reality and tend to be more realistic and popular.

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Automatic 3D virtual fitting system based on skeleton driving

Cited by 8 publications

References 44 publications

[Retracted] Study on 3D Clothing Color Application Based on Deep Learning‐Enabled Macro‐Micro Adversarial Network and Human Body Modeling

[Retracted] Study on 3D Clothing Color Application Based on Deep Learning‐Enabled Macro‐Micro Adversarial Network and Human Body Modeling

Computational Design of Wiring Layout on Tight Suits with Minimal Motion Resistance

CLO3D-Based 3D Virtual Fitting Technology of Down Jacket and Simulation Research on Dynamic Effect of Cloth

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