Class Schedule


15-17/03 - Course Overview
24/03 - Machine Learning Basics
29-31/03 - Signals and Deep Learning
07/04 - Geometry for Graphics and Vision
14/04 - Cameras
21/04 - Fourier Theory and Multiscale
28/04 - Images and Volumes
05/05 - Geometric Modeling
12/05 - 3D Neural Nets / Implicit Rep
19/05 - Points and Meshes
26/05 - Viewing and 3D Reconstruction
02/06 - Illumination and Rendering
09/06 - Differentiable Rendering for ML
16/06 - Learning 3D Scenes from Images
23/06 - Materials, Shading and Radiance Fields
28/06 - Closing