3D Vision

3.0 credits · Graduate

The ability to infer, model, and utilize 3D information from perceptual input is crucial to various intelligent systems (e.g., self-driving vehicles, mobile robots) and AI tasks (e.g., 2D image/3D asset generation, robot manipulation). The course will investigate the fundamentals and the latest advances in 3D vision as well as their applications in different fields. The topics include image formation, multi-view geometry, (neural) 3D representations, learning-based 3D algorithms, neural rendering, generative models, etc. The course will feature a mixture of lectures, paper presentations (both classic and modern), and a group final project. The students will play around various algorithms and models and improve or propose a creative use of them.