Geometric deep learning for surfaces and point clouds
Date:
In this series of lecture, we present geometric deep learning from its roots: we start by the raise of deep learning and the failures of classical deep learning on 3D shapes, and present most popular approaches of the recent years, both on point clouds and surfaces. Then, we present the adaptation of modern approache, such as the transformer to the specific challenges of 3D shapes. We conclude by presenting the remaining open challenges in modern geometric deep learning for surfaces.