Institute of Solid State Physics


SS22WS22SS23WS23SS24WS24      Guidelines for Master Students

Variational modeling meets learning
Thomas Pock
Institute of Computer Graphics and Vision
https://www.tugraz.at/institute/icg/research/team-pock/people/pock/
11:15 - 12:15 Wednesday 17 November 2021 

In this talk, I will show how to use learning techniques to significantly improve energy-based models. I will start by showing that even for the simplest models such as total variation, one can greatly improve the accuracy of the numerical approximation by learning the „best“ discretization within a class of consistent discretizations. Then I will move forward to more expressive models and show how they can be learned in order to give state-of-the art performance for image reconstruction problems, such as denoising, superresolution, MRI and CT.