Universität Wien

052213 VU Image Synthesis (2025S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Prüfungsimmanente Lehrveranstaltung

Offered jointly with TU course 186.101 Rendering
Moodle
Di 13.05. 11:00-13:00 Ort in u:find Details

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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!

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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)

Art der Leistungskontrolle und erlaubte Hilfsmittel

4xAssignments: 50%
Final Exam: 50%

Mindestanforderungen und Beurteilungsmaßstab

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.

Prüfungsstoff

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

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Module: IMS AKM

Letzte Änderung: Do 20.02.2025 17:25