Class Schedule


Jan 22 - Introduction
Summary

Jan 29 - Fundamentals of Machine Learning
Summary

Feb 05 - Signals, Geometry and AI
Summary

Feb 12 - Geometry for 3D Graphics and Vision
Summary

Feb 26 - Cameras and Image Collections
Summary

Mar 04 - Digital Image, Fourier Theory and Multiscale
Summary

Mar 11 - Neural Networks for Images and 3D Shapes
Summary

Mar 25 - Geometric Modeling and Meshes
Summary

Apr 01 - Volumetric Representations and Deep Implicits
Summary

Apr 08 - Deep Learning for Point Clouds and Meshes
Summary

Apr 15 - Viewing Transforms and Multi-View 3D DL
Summary

Apr 22 - Illumination and Ray Tracing
Summary

Apr 29 - Machine Learning and Rendering
Summary

May 06 - Material, Shading and Textures
Summary

May 13 - Final Exam