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Computer Graphics - AS 22 - Schedule

Schedule

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.

  • Discussion session: we will be presenting newly released exercises and answering questions.
  • Exercise Deadline: you need to submit your code and report via Dropbox as explained on the Nori webpage. The deadline is on Friday at 23:59. Late submissions will not be graded.
Lecture Topic Lecturer Exercise
20.09.2022IntroductionDr. Marios Papas-
23.09.2022Light & Matter, Radiometric quantities
Shape Representation Intro		Dr. Marios PapasNori Intro
27.09.2022Polygonal MeshesProf. Markus Gross-
30.09.2022Texture Mapping
BRDF Definition		Dr. Marios PapasEx1 Out
04.10.2022Basics of Ray Tracing (Part 1)Prof. Markus Gross-
07.10.2022Basics of Ray Tracing (Part 2)
Direct Illumination I: Reflection Equation and Light Sources (Part 1)		Prof. Markus GrossQ&A
11.10.2022Direct Illumination I: Reflection Equation and Light Sources (Part 2)Prof. Markus Gross-
14.10.2022Monte Carlo IntegrationDr. Marios PapasEx1 Due - Ex2 Out
18.10.2022Microfacet TheoryDr. Marios Papas-
21.10.2022Direct Illumination II: Importance Sampling
Direct Illumination III: Environment Maps + Adv. Camera Models		Dr. Marios PapasEx2 Due - Ex3 Out
25.10.2022Global Illumination IProf. Markus Gross-
28.10.2022Global Illumination IIDr. Marios PapasQ&A
01.11.2022Photon MappingDr. Marios Papas-
04.11.2022Participating Media IDr. Marios PapasEx3 Due - Ex4 Out
08.11.2022Participating Media IIDr. Marios Papas-
11.11.2022Camera ModelsDr. Aziz DjelouahFinal Project Out
15.11.20223D reconstructionDr. Aziz Djelouah-
18.11.2022Image-based RenderingDr. Aziz DjelouahEx4 Due
22.11.2022Sampling and Anti-aliasingDr. Marco Manzi-
25.11.2022Image-Based Denoising
Special Lecture: Denoising with Deep Learning		Dr. Fabrice RousselleSpecial Lecture: Modeling in Blender
Q&A
29.11.2022Material AcquisitionPrashanth Chandran-
02.12.2022Inverse & Differentiable RenderingDr. Sebastian WeissSpecial Lecture: Mitsuba 3 Tutorial
Q&A
06.12.2022Special Lecture: Intro to NeRFsDr. Ben Mildenhall-
09.12.2022Acceleration Data StructuresDr. Marios PapasQ&A
13.12.2022Special Lecture: Accelerating NeRFs & Neural Graphics PrimitivesDr. Thomas Müller-
16.12.2022Point-Based GraphicsProf. Markus GrossQ&A
20.12.2022Special Lecture: Computer Graphics Research Outlook Wrap-Up--
23.12.2022Rendering Competition--




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