DRAPE : DRessing Any PErson (SIGGRAPH 2012)

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Michael Black
Published at : 29 Nov 2020
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Clothed virtual characters in varied sizes and shapes are necessary for film, gaming, and on-line fashion applications. Dressing such characters is a significant bottleneck, requiring manual effort to design clothing, position it on the body, and simulate its physical deformation.

To address this, we have developed a complete system for animating realistic clothing on synthetic bodies of any shape and pose without manual intervention. The key component of the method is a model of clothing called DRAPE (DRessing Any PErson) that is learned from a physics-based simulation of clothing on bodies of different shapes and poses. The DRAPE model has the desirable property of "factoring" clothing deformations due to body shape from those due to pose variation. This factorization provides an approximation to the physical clothing deformation and greatly simplifies clothing synthesis. Given a parameterized model of the human body with known shape and pose parameters, we describe an algorithm that dresses the body with a garment that is customized to fit and possesses realistic wrinkles.

DRAPE is learned from standard 2D clothing designs simulated on 3D avatars with varying shape and pose. Once learned, DRAPE adapts to different body shapes and poses without the redesign of clothing patterns; this effectively creates infinitely-sized clothing. A key contribution is that the method is automatic. In particular, animators do not need to place the cloth pieces in appropriate positions to dress an avatar.

DRAPE can be used to dress static bodies or animated sequences with a learned model of the cloth dynamics. Since the method is fully automated, it is appropriate for dressing large numbers of virtual characters of varying shape. The method is significantly more efficient than physical simulation. This makes it appropriate for web applications such as virtual clothing try-on.

Project page: http://ps.is.tue.mpg.de/project/DRAPE:_DRessing_Any_PErson

Guan, P., Hirshberg, D., Reiss, L., Weiss, A., Black, M. J., "DRAPE: DRessing Any PErson,'' to appear: ACM Trans. Graphics (Proc. SIGGRAPH), 31(4), 2012.
http://files.is.tue.mpg.de/black/papers/DRAPE2012.pdf
virtual try-onfashioncomputer vision

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