6 citations · 7 across the 2 of their papers we have counts for
4 papers
Synthesizing facial photometries and corresponding geometries using generative adversarial networks
Gil Shamai, Ron Slossberg, Ron Kimmel
Artificial data synthesis is currently a well studied topic with useful applications in data science, computer vision, graphics and many other fields. Generating realistic data is…
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks
Ron Slossberg, Gil Shamai, Ron Kimmel
In the past several decades, many attempts have been made to model synthetic realistic geometric data. The goal of such models is to generate plausible 3D geometries and textures.…
Geodesic Distance Descriptors
Gil Shamai, Ron Kimmel
The Gromov-Hausdorff (GH) distance is traditionally used for measuring distances between metric spaces. It is defined as the minimal distortion of embedding one surface into the ot…
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling
Gil Shamai, Michael Zibulevsky, Ron Kimmel
Multidimensional scaling (MDS) is a dimensionality reduction tool used for information analysis, data visualization and manifold learning. Most MDS procedures embed data points in…