Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

052213 VU Image Synthesis (2025S)

Continuous assessment of course work

Offered jointly with TU course 186.101 Rendering

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The course will take place in cooperation with TU Wien. Hence, we will meet at TU Wien, Seminarraum FAV 05, HA0503, Stiege 2, Favoritenstraße 9-11, 1040 Wien.
https://www.cg.tuwien.ac.at/resources/maps/cg/
https://www.cg.tuwien.ac.at/resources/maps/guide.html
https://www.tuwien.at/index.php?id=1782
https://wiki.fsinf.at/wiki/Room:HA0503
It is not hard to find, yet, it might be confusing the first time around. So please come early on the first meeting. Thank you!

  • Tuesday 04.03. 11:00 - 13:00 Ort in u:find Details
  • Thursday 06.03. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 11.03. 11:00 - 13:00 Ort in u:find Details
  • Thursday 13.03. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 18.03. 11:00 - 13:00 Ort in u:find Details
  • Thursday 20.03. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 25.03. 11:00 - 13:00 Ort in u:find Details
  • Thursday 27.03. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 01.04. 11:00 - 13:00 Ort in u:find Details
  • Thursday 03.04. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 08.04. 11:00 - 13:00 Ort in u:find Details
  • Thursday 10.04. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 29.04. 11:00 - 13:00 Ort in u:find Details
  • Tuesday 06.05. 11:00 - 13:00 Ort in u:find Details
  • Thursday 08.05. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 13.05. 11:00 - 13:00 Ort in u:find Details
  • Thursday 15.05. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 20.05. 11:00 - 13:00 Ort in u:find Details
  • Thursday 22.05. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 27.05. 11:00 - 13:00 Ort in u:find Details
  • Tuesday 03.06. 11:00 - 13:00 Ort in u:find Details
  • Thursday 05.06. 17:00 - 19:00 Ort in u:find Details
  • Tuesday 17.06. 11:00 - 13:00 Ort in u:find Details
  • Tuesday 24.06. 11:00 - 13:00 Ort in u:find Details

Information

Aims, contents and method of the course

This course builds upon the fundamental principles covered in Foundations of Computer Graphics (05-2200) and introduces students to advanced topics in computer graphics. This particular course focuses on image synthesis, i.e. the creation of photo-realistic images. Specific topics include:
* review of basics
* advanced ray tracing
* radiometry / photometry
* image pipeline
* reflectance functions
* Monte-Carlo methods
* photon maps
* radiosity
* participating media

Students are enabled to:
* analyse and solve the rendering equation using sophisticated mathematical and statistical methods
* extend a large code base (in C++) and learn how to debug such a system
* analyse and improve rendering algorithms based on efficiency of ray
intersections
* tell apart biased and convergent behaviour of a rendering algorithm

Students gain:
* deep insight into the art and science of physically-based rendering
* an appreciation for applied statistics and applied numerical mathematics
* experience with a production quality rendering system (pbrt)

Assessment and permitted materials

4xAssignments: 50%
Final Exam: 50%

Minimum requirements and assessment criteria

A mandatory prerequisite for this class is the successful completion of Foundations of Computer Graphics (05-2200).

The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 60.0%
4: at least 40.0%

A minimum grade of 25% must be earned on each assignment (without considering penalties) in order to pass the course.

Examination topics

* applied exercises and tasks
* accomplishing a final project
* in-class presentations
* readings

Reading list

Pharr, Matt; Humphreys, Greg: Physically based rendering : from theory to implementation, Morgan Kaufmann, 2023 (4th edition)

Association in the course directory

Module: IMS AKM

Last modified: Th 20.02.2025 17:25