235 citations · 290 across the 2 of their papers we have counts for
4 papers · 1 filter
Self-Sampling for Neural Point Cloud Consolidation
Gal Metzer, Rana Hanocka, Raja Giryes +1
We introduce a novel technique for neural point cloud consolidation which learns from only the input point cloud. Unlike other point upsampling methods which analyze shapes via loc…
Deep Geometric Texture Synthesis
Amir Hertz, Rana Hanocka, Raja Giryes +1
Recently, deep generative adversarial networks for image generation have advanced rapidly; yet, only a small amount of research has focused on generative models for irregular struc…
Point2Mesh: A Self-Prior for Deformable Meshes
Rana Hanocka, Gal Metzer, Raja Giryes +1
In this paper, we introduce Point2Mesh, a technique for reconstructing a surface mesh from an input point cloud. Instead of explicitly specifying a prior that encodes the expected…
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz, Rana Hanocka, Raja Giryes +1
Point clouds are a popular representation for 3D shapes. However, they encode a particular sampling without accounting for shape priors or non-local information. We advocate for th…