052220 VU Advanced Topics in Computer Graphics (2021S)

Real-Time Ray Tracing

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).

Registration is open from Mo 15.02.2021 09:00 to Mo 22.02.2021 09:00
Deregistration possible until Su 14.03.2021 23:59

Details

max. 25 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Friday
    05.03.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    19.03.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    26.03.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    16.04.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    23.04.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    30.04.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    07.05.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    14.05.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    21.05.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    28.05.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    04.06.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    11.06.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    18.06.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG
    
    Friday
    25.06.
    16:45 - 18:15
    Seminarraum 6, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

Disclaimer: This course willonly be held with 10+ students!

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

Module: AT-GFX

Last modified: Mo 22.02.2021 12:48