Course Description
This course covers fundamental and advanced techniques in this field at the intersection of computer vision, computer graphics, and geometric deep learning. It will lay the foundations of how cameras see the world, how we can represent 3D scenes for artificial intelligence, how we can learn to reconstruct these …
This course covers fundamental and advanced techniques in this field at the intersection of computer vision, computer graphics, and geometric deep learning. It will lay the foundations of how cameras see the world, how we can represent 3D scenes for artificial intelligence, how we can learn to reconstruct these representations from only a single image, how we can guarantee certain kinds of generalizations, and how we can train these models in a self-supervised way.
Course Info
Learning Resource Types
notes
Lecture Notes
theaters
Lecture Videos
assignment
Programming Assignments
Any model that interacts with our world has to make predictions about 3D. Models like this wireframe model of the Orbiter space shuttle help create these predictions. (Courtesy of the Smithsonian. Used under CC0.)
