Universität Wien

052216 VU Real-Time Ray Tracing (2024S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

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: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 01.03. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 08.03. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 15.03. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 22.03. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 12.04. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 19.04. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 26.04. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 03.05. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 10.05. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 17.05. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 24.05. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 31.05. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 07.06. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 14.06. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 21.06. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG
  • Friday 28.06. 16:45 - 18:15 Seminarraum 6, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

The course teaches the basics of real time ray tracing including random sampling of hemispheres, ray intersection, bounding volume hierarchies, denoising, temporal anti aliasing and different 4K-upscaling methods. Furthermore additional topics for advanced state of the art real time ray tracing including dynamic resolution scaling with variable refresh rates and machine learning based rendering for illumination of the scene and deep learning super sampling are taught. After the course participants understand all major concepts behind real time ray tracing and are able to implement them into a render engine.

Assessment and permitted materials

Four separately graded assignments are to be submitted throughout the semester.
Two written exams (one during the semester and one at the end of the semester).

Minimum requirements and assessment criteria

The final mark is calculated based on the two written exams (each 20%) and the four assignments (assignment 1: 10%, assignment 2: 15%, assignment 3: 20%, assignment 4: 15%).
To achieve a positive grading students
- have to submit a solution for each assignment, and
- need to reach at least 50% of the maximum points achievable over all written exams.

Gradings are computed from the weighted sum:
89% <= P <= 100% Sehr Gut (1)
76% <= P < 89% Gut (2)
63% <= P < 76% Befriedigend (3)
50% <= P < 63% Genügend (4)
0% <= P < 50% Nicht Genügend (5)

Examination topics

Real Time Ray Tracing, Dynamic Resolution Scaling, Machine Learning based Rendering

Reading list

Christer Ericson, Real-Time Collision Detection, CRC Press (December 22, 2004)
Tomas Akenine-Möller, Eric Haines, Naty Hoffman, Angelo Pesce, Michal Iwanicki, Real-time Rendering, CRC Press, 4. Auflage, 21. August 2018
Alexander Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi, Machine learning and rendering, SIGGRAPH '18 ACM SIGGRAPH 2018 Courses, ACM New York, 2018
Tomas Akenine-Möller, Eric Haines, Ray Tracing Gems, Apress, 2019

Association in the course directory

Last modified: Th 22.02.2024 14:05