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Image Synthesis, Summer Term 2021

Lecturer: Prof. Dr. Thorsten Thormählen
 
Module Name: CS 681
 

Computer-generated images are nowadays used in a variety of applications. Some applications (such as in the production of images in the film industry, advertising, or medicine) have typically very high visual quality requirements. The lecture Image Synthesis covers methods that allow creating photo-realistic images of virtual scenes. This requires a detailed modeling and representation of the 3D scene. Furthermore, the propagation of light in the scene must be simulated using global illumination models, which is computationally expensive. However, the calculations can be easily parallelized, so many computing units can work together to produce an image. Today's graphics cards (GPUs) have many parallel processing units and the lecture covers technologies (especially CUDA and OptiX), which allow efficient computing and convenient programming of these units.

Qualification objectives

The lecture presents methods that enable the participants to create computer-generated images of high visual quality. This includes topics such as: Modeling a dynamic virtual 3D scene, free-form curves and surfaces, methods for global illumination, or rendering of volumetric data. Another objective of the course is to give participants an understanding of the architecture of current graphics cards, such that the graphics card is recognized as an extremely powerful stream processor with multiple parallel processing units that can also be used for complex calculations outside the realm of computer graphics. Parallel programming of the graphics card using CUDA is trained by practical examples. In addition, the course aims at improving the overall ability of the participants to perform scientific work, to solve problems, and to communicate.

Prerequisites

The course requires a basic understanding of data structures, algorithms, and object-oriented programming. Furthermore, fundamental techniques of graphic programming are required, as taught in Graphics Programming I.

Organization

The course consists of a lecture (4 hours per week) and exercises (2 hours per week) 

Lecture: Tues 10h15 - 11h45, Thu 10h15 - 11h45, MZ 6 HS III A3
Exercise: Thu 12h15 - 13h45, MZ 6 HS III A3 or PC-Pool A4
Tutor: Sebastian Lieb

Course Structure

  1. Simulation of light transport
  2. Global illumination
    • Ray-Tracing
    • Radiosity
    • Monte-Carlo methods (Distributed Ray-Tracing, Path-Tracing)
    • Photon Mapping
    • Instant Radiosity
  3. CUDA
    • Introduction to CUDA
    • Programming with CUDA
    • Efficient programming of stream processors
    • Global illumination with CUDA
  4. 3D modeling
  5. Volume rendering
  6. Introduction to OptiX

Lecture slides and exercise sheets

Lecture slides and exercise sheets can be found at the German version of this page.

Rendering Competition

At the end of the course participants take part in a rendering competition. The task is to use the own ray tracer to generate a realistic image. The winners will receive a certificate and a large format print of their image.

 

This lecture is part of the course offerings in the NVIDIA CUDA Teaching Center Program at Philipps-University Marburg.

NVIDIA Teaching Center

Zuletzt aktualisiert: 08.04.2020 · thormaeh

 
 
 
Fb. 12 - Mathematik und Informatik

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Tel. +49 6421/28-21514, Fax +49 6421/28-25466, E-Mail: dekanatfb12@mathematik.uni-marburg.de

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URL dieser Seite: https://www.uni-marburg.de/fb12/en/researchgroups/grafikmultimedia/lectures/graphics2

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