UofT CSC 2547 3D & Geometric Deep Learning

This course introduces deep learning methods and modern advances in 3D Vision. We will study representations, learning algorithms, and generative models for 3D vision tasks at the object and scene level. We will then study Geometric Deep Learning and concepts of Manifold Learning as relevant to Deep Learning. The 3D nature of this topic has many potential applications in graphics, robotics, content creation, mixed reality, biometrics, and more.

This channel will have ~10 min tutorials on the top papers in the field.