Authors: Eunjung Ju1, Kwang-yun Kim1, Jaehoon Lee1, Sungjin Yoon1, Myung Geol Choi2
1CLO Virtual Fashion Inc., Seoul, South Korea | 2 The Catholic University of Korea, Seoul, South Korea
How similar a virtual product is to a real product is one of the most important issues when using virtual simulation to develop real apparel designs. The first step to achieve high similarity is finding optimal simulation parameters for the desired fabrics. However, it is notoriously difficult to find an optimal parameter set that reproduces the physical properties of a specific fabric as closely as possible. It is because the relationship between the changes of simulation parameters and drape shapes is highly non-linear, not intuitive, and hard to be predicted even by experts. Therefore, users have to repeat trial and error based on personal experience until they find satisfactory results, which is time-consuming due to the simulation time required for each trial. To handle this problem, we proposed a neural network model that learns the relationship between the parameter space and the drape space, then we presented a user interface that allows users to quickly explore the extensive drape space through simulation parameters. To validate our method, we provided our UI with experts in the fashion design industry and conducted user studies with them for qualitative evaluation.
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@article{Ju2022DrapeExploration,
author = {Eunjung Ju and Kwang-yun Kim and Jaehoon Lee and Sungjin Yoon and Myung Geol Choi},
title = {Interactive Exploration of Drapes by Simulation Parameters},
journal = {Computer Animation and Virtual Worlds},
volume = {33},
year = {2022},
number = {3-4},
pages = {e2058},
doi = {10.1002/cav.2058},
publisher = {John Wiley & Sons Ltd}
}