Learning 3D Deformation of Animals from 2D Images

Abstract

Understanding how an animal can deform and articulate is essential for a realistic modification of its 3D model. In this paper, we show that such information can be learned from user-clicked 2D images and a template 3D model of the target animal. We present a volumetric deformation framework that produces a set of new 3D models by deforming a template 3D… (More)
DOI: 10.1111/cgf.12838

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