| Kurzkommentar |
Course Description:
Neural rendering and reconstruction is the cornerstone of digitizing
our world, with several applications in VR/AR, movie and media
production, robotics, and many more. The digitization pipeline usually
consists of three main stages; data capture, 3D model building, and
finally, reconstruction and rendering/synthesis. This course will
cover advanced topics in this digitization pipeline, with a focus on
data-driven approaches using neural-based formulations. Example of
topics that will be covered include learnable implicit 3D scene
representations, 3D morphable models, 2D and 3D neural rendering,
digital humans, generative modeling, advanced sensors such as IMUs and
event cameras, and finally quantum visual computing and the impact it
can bring to the field.
Prerequisites:
The course is more tailored towards the students of Visual Computing (M.Sc.), Computer Science (M.Sc.) and Data Science and Artificial Intelligence (M.Sc.).
It is preferred, but not necessarily required, that students have already studied IPCV and Computer Graphics 1, or something equivalent. |
