Class Schedule
- Jan 22 - Introduction
- Summary
| Video
- Jan 29 - Fundamentals of Machine Learning
- Summary
| Video
- Feb 05 - Signals, Geometry and AI
- Summary
| Video
- Feb 12 - Geometry for 3D Graphics and Vision
- Summary
| Video
- Feb 26 - Cameras and Image Collections
- Summary
| Video
- Mar 04 - Digital Image, Fourier Theory and Multiscale
- Summary
| Video
- Mar 11 - Neural Networks for Images and 3D Shapes
- Summary
| Video
- Mar 25 - Geometric Modeling and Meshes
- Summary
| Video
- Apr 01 - Volumetric Representations and Deep Implicits
- Summary
| Video
- Apr 08 - Deep Learning for Point Clouds and Meshes
- Summary
| Video (a)
| Video (b)
- Apr 15 - Viewing Transforms and Multi-View 3D DL
- Summary
| Video
- Apr 22 - Illumination and Ray Tracing
- Summary
| Video
- Apr 29 - Machine Learning and Rendering
- Summary
| Video
- May 06 - Material, Shading and Textures
- Summary
| Video
- May 13 - Final Exam