Universität Wien FIND
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

052213 VU Image Synthesis (2022S)

Prüfungsimmanente Lehrveranstaltung


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


max. 25 Teilnehmer*innen
Sprache: Englisch



DI wtl von 01.03.2022 bis 28.06.2022 11.00-13.00; DO wtl von 03.03.2022 bis 30.06.2022 11.00-13.00Ort: 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.htmlhttps://www.tuwien.at/index.php?id=1782https://wiki.fsinf.at/wiki/Room:HA0503


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
* 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: 56%
2xCourse Feedback: 4%
Final Project: 40%

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.


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


Pharr, Matt; Humphreys, Greg: Physically based rendering : from theory to implementation, Morgan Kaufmann, 2016 (3rd edition)

Zuordnung im Vorlesungsverzeichnis

Module: IMS AKM

Letzte Änderung: Sa 05.03.2022 06:28