Markus Gross: Catalogue data in Autumn Semester 2019

Name	Prof. Dr. Markus Gross
Field	Informatik (Computergraphik)
Address	Institut für Visual Computing ETH Zürich, CNB G 109 Universitätstrasse 6 8092 Zürich SWITZERLAND
Telephone	+41 44 632 71 14
Fax	+41 44 632 11 72
E-mail	grossm@inf.ethz.ch
Department	Computer Science
Relationship	Full Professor

Number	Title	ECTS	Hours	Lecturers
252-0543-01L	Computer Graphics	7 credits	3V + 2U + 1A	M. Gross, M. Papas
Abstract	This course covers some of the fundamental concepts of computer graphics generation of photorealistic images from digital representations of 3D scenes and image-based methods for recovering digital scene representations from captured images.
Learning objective	At the end of the course the students will be able to build a rendering system. The students will study the basic principles of rendering and image synthesis. In addition, the course is intended to stimulate the students' curiosity to explore the field of computer graphics in subsequent courses or on their own.
Content	This course covers fundamental concepts of modern computer graphics. Students will learn about 3D object representations and the details of how to generate photorealistic images from digital representations of 3D scenes. Starting with an introduction to 3D shape modeling, geometry representation and texture mapping, we will move on to the physics of light transport, acceleration structures, appearance modeling and Monte Carlo integration. We will apply these principles for computing light transport of direct and global illumination due to surfaces and participating media. We will end with an overview of modern image-based capture and image synthesis methods, covering topics such as geometry and material capture, light-fields and depth-image based rendering.
Lecture notes	no
Literature	Books: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting Multiple view geometry in computer vision Physically Based Rendering: From Theory to Implementation
Prerequisites / Notice	Prerequisites: Fundamentals of calculus and linear algebra, basic concepts of algorithms and data structures, programming skills in C++, Visual Computing course recommended. The programming assignments will be in C++. This will not be taught in the class.
252-5701-00L	Advanced Topics in Computer Graphics and Vision Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.	2 credits	2S	M. Gross, M. Pollefeys, O. Sorkine Hornung
Abstract	This seminar covers advanced topics in computer graphics, such as modeling, rendering, animation, real-time graphics, physical simulation, and computational photography. Each time the course is offered, a collection of research papers is selected and each student presents one paper to the class and leads a discussion about the paper and related topics.
Learning objective	The goal is to get an in-depth understanding of actual problems and research topics in the field of computer graphics as well as improve presentations and critical analysis skills.
Content	This seminar covers advanced topics in computer graphics, including both seminal research papers as well as the latest research results. Each time the course is offered, a collection of research papers are selected covering topics such as modeling, rendering, animation, real-time graphics, physical simulation, and computational photography. Each student presents one paper to the class and leads a discussion about the paper and related topics. All students read the papers and participate in the discussion.
Lecture notes	no script
Literature	Individual research papers are selected each term. See http://graphics.ethz.ch/ for the current list.
252-5707-00L	Seminar on Media Innovation Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.	2 credits	2S	M. Gross, S. Klingler, S. Schaub-Meyer
Abstract	This seminar introduces students to research and innovation in the area of media technology.
Learning objective	The objectives of this seminar are twofold: (1) learning about recent developments in the area of media technology at the intersection of computer vision, computer graphics, natural language processing, and machine learning and (2) to improve presentation and critical analysis skills.
Content	The media industry is undergoing a fundamental transformation caused by digitalization. Media consumption is shifting away from traditional media such as TV or newspaper towards mobile and delayed consumption. The boundaries between media producers and consumers are getting blurred, and personalized content is increasingly important. Machine learning and AI are crucial tools to help to create better content, understand the consumers’ preferences and surface the essential stories in times of information overload. This seminar introduces students to the latest research in the field of media technology and innovation. It is an exciting field laying at the intersection of computer vision, computer graphics, natural language processing, and machine learning. The seminar will cover a broad spectrum of topics considering not only the technical innovations but also the possibilities these technologies provide to professionals in the media industry and consumers of media.
264-5800-14L	Doctoral Seminar in Visual Computing (HS19)	1 credit	1S	M. Gross, M. Pollefeys, O. Sorkine Hornung
Abstract	In this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges caThis graduate seminar provides doctoral students in computer science a chance to read and discuss current research papers.
Learning objective	In this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.
Content	Current research at the IVC will be presented and discussed.
Prerequisites / Notice	This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.