Overview

This advanced lecture discusses the mathematical concepts and algorithms that are used to simulate the propagation of light in a virtual scene. The topics include Monte Carlo sampling, various Global Illumination algorithms (from the basic Path Tracing algorithm to more advanced algorithms like Vertex Connection and Merging), and HDR imaging. In the practical exercises, the students implement some of the algorithms discussed in the lecture in a lightweight rendering framework.

Instructors

Teaching Assistants

Tutors

Julius Kilger

Pre-requisites

  • Programming experience with C++

Exams

Matriculation number Time
****780 13:00 - 13:30
****464 13:30 - 14:00
****886 14:00 - 14:30
****216 14:30 - 15:00
****595 15:00 - 15:30

Mailing list

  1. Register for this course’s mailing list here.
  2. Send an email to the list by using the address ris(email character)graphics cs uni-saarland de (and replacing spaces with dots).
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Lectures and assignments

Date Lecture - Instructor Resources
09.04.2019 Intro

Myszkowski

12.04.2019 Rendering Equation

Myszkowski

16.04.2019 Radiosity

Myszkowski

19.04.2019 Holiday
23.04.2019 HDR and Tone Mapping

Myszkowski

26.04.2019 Perception

Myszkowski

30.04.2019 Probability Theory

Singh

03.05.2019 MC Integration

Singh

07.05.2019 No Lectures (Conference)
10.05.2019 No Lectures (Conference)
14.05.2019 Modern Display Technology

Hyeonseung Yu

17.05.2019 Perceptual Display

Myszkowski

21.05.2019 Advanced Sampling

Singh

24.05.2019 cancelled
28.05.2019 BRDFs and Path Tracing

Grittmann

31.05.2019 Bidirectional Path Tracing

Slusallek

04.06.2019 No Lectures
07.06.2019 Virtual Point Lights

Slusallek

11.06.2019 Density Estimation

Myszkowski

14.06.2019 Volume Rendering

Singh

18.06.2019 Vertex Connection and Merging

Slusallek

21.06.2019 cancelled
25.06.2019 Path Guiding

Slusallek

28.06.2019 Spatio-temporal Sampling

Singh

02.07.2019 Machine Learning I (Introduction)

Singh

05.07.2019 Machine Learning II (Reconstruction I)

Singh

09.07.2019 No Lectures (Conference)
12.07.2019 No Lectures (Conference)
16.07.2019 No Lectures
19.07.2019 Machine Learning III (Reconstruction II)

Singh

General Regulations

  • Type: Special Lecture, Practical computer science
  • ECTS: 9 credit points
  • Practical assignments
    • Longer term projects
    • Not a rendering competition as in CG1
  • Assignments can be submitted by groups of up to 2 students.

Literature

The lecture is not bound to a specific book. The following list contains the most important books about image synthesis:

  • Pharr, Jakob, Humphreys, Physically Based Rendering : From Theory to Implementation, Morgan Kaufmann
  • Shirley et al., Realistic Ray Tracing, 2. Ed., AK. Peters, 2003
  • Jensen, Realistic Image Synthesis Using Photon Mapping, AK. Peters, 2001
  • Dutre, at al., Advanced Global Illumition, AK. Peters, 2003
  • Glassner, Principles of Digital Image Synthesis, 2 volumes, Morgan Kaufman, 1995
  • Cohen, Wallace, Radiosity and Realistic Image Synthesis, Academic Press, 1993
  • Apodaca, Gritz, Advanced Renderman: Creating CGI for the Motion Pictures, Morgan Kaufmann, 1999
  • Ebert, Musgrave, et al., Texturing and Modeling, 3. Ed., Morgan Kaufmann, 2003
  • Reinhard, Ward, Pattanaik, Debevec, Heidrich, Myszkowski, High Dynamic Range Imaging, Morgan Kaufmann Publishers, 2nd edition, 2010.
  • Myszkowski, Mantiuk, Krawczyk. High Dynamic Range Video. Synthesis Digital Library of Engineering and Computer Science. Morgan & Claypool Publishers, San Rafael, USA, 2008.

Here is a list of other reference materials you can use, grouped by topic: