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

David Hares
Leonard Butz

Pre-requisites

  • Programming experience with C++

The advanced concepts taught in this course build on the basic techniques that are part of our Computer Graphics core lecture. It is recommended to take that lecture first, but the RIS course is self-contained and can be followed without that background.

Tutorials and office hours

We offer a combined tutorial and office hour, taking place every Tuesday. At the start of it, the tutors will walk you through the grading of the previous assignment and discuss the upcoming assignment. Afterwards, you are welcome to use the seminar room to work on the assignments or study / discuss lecture materials. We will be available for any questions or issues during that time.

Lectures and assignments

Date Lecture - Instructor Resources
15.04.2024

No lecture

18.04.2024

No lecture

22.04.2024

Introduction

Philipp Slusallek

25.04.2024

Rendering Equation

Philipp Slusallek

29.04.2024

Radiosity

Karol Myszkowski

02.05.2024

Probability theory and Monte Carlo

Corentin Salaün

06.05.2024

BRDFs and Path Tracing

Gurprit Singh

09.05.2024

No lecture

Public holiday

13.05.2024

Volume Rendering

Gurprit Singh

16.05.2024

Advanced Sampling

Gurprit Singh

20.05.2024

No lecture

Public holiday

23.05.2024

No lecture

27.05.2024

ML for rendering: Denoising

Gurprit Singh

30.05.2024

No lecture

Public holiday

03.06.2024

Spatio-temporal sampling

Corentin Salaün

06.06.2024

Bidirectional path tracing

Corentin Salaün

10.06.2024

Virtual point lights

Philipp Slusallek

13.06.2024

No lecture

17.06.2024

Density estimation

Karol Myszkowski

20.06.2024

Vertex connection and merging

Karol Myszkowski

24.06.2024

Radar / Spectral

Ömercan Yazici & Alexander Rath

27.06.2024

Markov chain Monte carlo

Philipp Slusallek

01.07.2024

HDR and tone mapping

Karol Myszkowski

04.07.2024

No lecture

08.07.2024

Perception

Karol Myszkowski

11.07.2024

Modern display technology

Karol Myszkowski

15.07.2024

Differentiable rendering 1

Gurprit Singh

18.07.2024

Differentiable rendering 2

Thomas Leimkühler

22.07.2024

AnyDSL / wrap up

Philipp Slusallek

25.07.2024

No lecture

General Regulations

  • Type: Special Lecture, Practical computer science
  • ECTS: 9 credit points
  • Practical assignments
  • Assignments can be submitted by groups of up to 2 students.

Literature

The lecture is not bound to a specific book. Here are some recommended books:

  • 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: