Virtual fitting: real-time garment simulation for online shopping

@inproceedings{Zhang2014VirtualFR,
  title={Virtual fitting: real-time garment simulation for online shopping},
  author={Xuaner Cecilia Zhang and Lam Yuk Wong},
  booktitle={SIGGRAPH '14},
  year={2014}
}
Without physically trying on a garment, online clothes shoppers are unable to decide the best size or color, and therefore are more likely to purchase clothes that do not fit. A solution to this online fit problem is virtual fitting. Using 3D modeling to help customers visualize how garments look on them requires garment simulation in real time. This paper proposes an innovative approach that utilizes machine learning to meet this real-time requirement and can be applied to virtual fitting… 

Figures and Tables from this paper

Machine learning-based marker length estimation for garment mass customization

TLDR
This study applies the methods of multiple linear regression (MLR) and radial basis function neural network (RBF NN) to estimate marker lengths that are used in various garment production modes by considering various sets of garment sizes and different marker types.

Retrieval of clothing images based on relevance feedback with focus on collar designs

TLDR
Several new methods for the collar-design feature extraction are presented and a prototype of clothing image retrieval system based on relevance feedback approach and optimum-path forest algorithm is developed to improve the query results and allows users to find clothing image of more preferred design.

Mirror Mirror: An On-Body T-shirt Design System

TLDR
The Mirror Mirror system is contributed, which not only supports mixing and matching of existing fashion items, but also lets users design new items in front of the mirror and export designs to fabric printers.

References

SHOWING 1-2 OF 2 REFERENCES

A data-driven approach for real-time clothes simulation

TLDR
A data-driven approach for real-time processing of clothes, particularly suitable for simulating dresses worn by virtual characters, is proposed, by analyzing cloth behavior in relation to the underlying skeleton movement from a pre-simulated sequence of the cloth obtained using any high quality offline simulators.

DRAPE: DRessing Any PErson

TLDR
An algorithm that dresses the body with a garment that is customized to fit and possesses realistic wrinkles is described that is significantly more efficient than physical simulation.