GEOMETRY IMAGE SUPER-RESOLUTION WITH ANISOCBCONVNET ARCHITECTURE FOR EFFICIENT CLOTH MODELING.

We propose an anisotropic constrained-boundary convolutional neural networks (hereafter, AnisoCBConvNet) that can stably express high-quality meshes without oscillation by applying super-resolution operations to low-resolution cloth meshes.As a training set for the neural network, we use a pair between simulation data of low resolution (LR) cloth a

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