Computer Graphics Laboratory ETH Zurich


Mathematical Foundations of Computer Graphics and Vision - SS23 - 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
21.02.2023 Introduction, Robust fitting No exercise session
28.02.2023 Global Optimization I Ex1 out
07.03.2023 Global Optimization II Ex2 out
14.03.2023 Representation and Approximation, Dimensionality Reduction Ex1 due
21.03.2023 Markov Random Fields and Graph-cuts Ex2 due - Ex3 out
28.03.2023 Space Transformations Q&A
04.04.2023 Optimal Transport Ex3 due - Ex4 out
11.04.2023 No lecture (Easter break) -
18.04.2023 Variational Methods I Q&A
25.04.2023 Variational Methods II Ex4 due - Ex5 out
02.05.2023 Deep Learning I Q&A
09.05.2023 Deep Learning II Ex5 due - Ex6 out
16.05.2023 Deep Learning III Q&A
23.05.2023 Guest Lecture: Rajesh Sharma - Differentiable Rendering Q&A
30.05.2023 Deep Learning IV: Diffusion models Ex6 due