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Predicting Loose-fitting Garment Deformations Using Bone-driven Motion Networks
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DescriptionWe present a learning-based algorithm using bone-driven motion networks to interactively predict the complex deformation of loose-fitting garment meshes, such as the swirling, flying, and dropping of dresses. Our method is capable of handling novel large motions and different simulation parameters.