Basic Concepts (LV c1) Neural Network Architectures (DL c6, c9) (FCV VII) Signals & Machine Learning (LV c6) Geometric Deep Learning (GDL) 3D Models (LV c8) 3D Conversion (IO c3, c10) Geometry for Graphics (LV c2, c3) Geometry for Vision (HZ p0 / HZ p1) (FCV XI) Plenoptic Function & Light Fields (SZ 14) Cameras and Multiview Reconstruction (HZ p2) (SZ 11, 12, 13) Surface Illumination (PBR 13) Volume Illumination (PBR 14) ________________________________________________________ LV - Computer Graphics: Theory and Practice DL - Deep Learning FW - From Fourier Analysis to Wavelets SZ - Computer Vision: Algorithms and Applications HZ - Multiple View Geometry in Computer Vision FCV - Foundations of Computer Vision PBR - Physically Based Rendering IO - Implicit Objects in Computer Graphics GDL - Geometric Deep Learning