Computer Graphics Laboratory ETH Zurich


Mathematical Foundations of Computer Graphics and Vision - SS22 - Schedule


  • Robust fitting and optimization
  • Representation, sampling and reconstruction
  • Graph-cuts
  • Space transformations
  • Optimal transport
  • Variational methods
  • Deep learning


This shows the planned schedule of the lectures and exercies, and will be updated in accordance to the actual course schedule throughout the semester. The information in this page is subject to change and should not be construed as a commitment.

Date Class Exercise Session
22.02.2022 Introduction, Robust fitting No exercise session
01.03.2022 Global Optimization I Ex1 out
08.03.2022 Global Optimization II Ex2 out
15.03.2022 Representation and Approximation, Dimensionality Reduction Ex1 due
22.03.2022 Markov Random Fields and Graph-cuts Ex3 out
29.03.2022 Space Transformations Ex2 due
05.04.2022 Optimal Transport Ex4 out
12.04.2022 Variational Methods I Ex3 due
19.04.2022 No lecture (Easter break) -
26.04.2022 Variational Methods II Ex4 due - Ex5 out
03.05.2022 Deep Learning I -
10.05.2022 Deep Learning II Ex5 due - Ex6 out
17.05.2022 Deep Learning III -
24.05.2022 Guest Lecture I -
31.05.2022 Guest Lecture II Ex6 due