“Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction” by Song, Shi and Reed

  • ©Steven L. Song, Weiqi Shi, and Michael Reed

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Title:

    Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction

Session/Category Title:   Face and Full Body Motion


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Abstract:


    To be suitable for film-quality animation, rigs for character deformation must fulfill a broad set of requirements. They must be able to create highly stylized deformation, allow a wide variety of controls to permit artistic free- dom, and accurately reflect the design intent. Facial deformation is especially challenging due to its nonlinearity with respect to the animation controls and its additional precision requirements, which often leads to highly com- plex face rigs that are not generalizable to other characters. This lack of generality creates a need for approximation methods that encode the defor- mation in simpler structures. We propose a rig approximation method that addresses these issues by learning localized shape information in differential coordinates and, separately, a subspace for mesh reconstruction. The use of differential coordinates produces a smooth distribution of errors in the resulting deformed surface, while the learned subspace provides constraints that reduce the low frequency error in the reconstruction. Our method can reconstruct both face and body deformations with high fidelity and does not require a set of well-posed animation examples, as we demonstrate with a variety of production characters.


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