Rig Inversion by Training a Differentiable Rig Function

01/11/2023

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by   Mathieu Marquis Bolduc, et al.

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Rig inversion is the problem of creating a method that can find the rig parameter vector that best approximates a given input mesh. In this paper we propose to solve this problem by first obtaining a differentiable rig function by training a multi layer perceptron to approximate the rig function. This differentiable rig function can then be used to train a deep learning model of rig inversion.