Machine Learning for 3D Geometry

Lecture 0

Intro

Lecture 1

3d representations

• Voxel Grid , Point Cloud , Polygon Meshes , Parametric Curves and Surfaces , Implicit Surfaces , Signed Distance Functions , Truncated Signed Distance Function (TSDF) , Poisson Surface Reconstruction , Marching Cubes ,

Lecture 2

3d Shape Alignment

Lecture 3

Intro to DL

Lecture 4

3D Shape Segmentation

Lecture 5

Generating Shapes

Lecture 6

Learning accross different 3D representations

Lecture 7

Semantic Scene Segmentation