1. Introduction

Geometric representations in deep learning broadly can be divided into 3 classes:

  • voxel-based: limited in resolution, offer no topological guarantees, cannot represent sharp features
  • point-based: memory issues, do not capture manifold connectivity
  • mesh-based

State-of-the-art deep learning systems output 3D geometry as point clouds, triangle meshes, voxel grids, and implicit surfaces

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