Deep Magnification-Flexible Upsampling Over 3D Point Clouds
Deep Magnification-Flexible Upsampling Over 3D Point Clouds
This paper addresses the problem of generating dense point clouds from given sparse point clouds to model the underlying geometric structures of objects/scenes. To tackle this challenging issue, we propose a novel end-to-end learning-based framework. Specifically, by taking advantage of the linear approximation theorem, we first formulate the problem explicitly, …