Markus Gross: Katalogdaten im Herbstsemester 2022

Name	Herr Prof. Dr. Markus Gross
Lehrgebiet	Informatik (Computergraphik)
Adresse	Institut für Visual Computing ETH Zürich, CNB G 109 Universitätstrasse 6 8092 Zürich SWITZERLAND
Telefon	+41 44 632 71 14
Fax	+41 44 632 11 72
E-Mail	grossm@inf.ethz.ch
Departement	Informatik
Beziehung	Ordentlicher Professor

Nummer	Titel	ECTS	Umfang	Dozierende
252-0206-00L	Visual Computing	8 KP	4V + 3U	M. Gross, M. Pollefeys
Kurzbeschreibung	This course acquaints students with core knowledge in computer graphics, image processing, multimedia and computer vision. Topics include: Graphics pipeline, perception and camera models, transformation, shading, global illumination, texturing, sampling, filtering, image representations, image and video compression, edge detection and optical flow.
Lernziel	This course provides an in-depth introduction to the core concepts of computer graphics, image processing, multimedia and computer vision. The course forms a basis for the specialization track Visual Computing of the CS master program at ETH.
Inhalt	Course topics will include: Graphics pipeline, perception and color models, camera models, transformations and projection, projections, lighting, shading, global illumination, texturing, sampling theorem, Fourier transforms, image representations, convolution, linear filtering, diffusion, nonlinear filtering, edge detection, optical flow, image and video compression. In theoretical and practical homework assignments students will learn to apply and implement the presented concepts and algorithms.
Skript	A scriptum will be handed out for a part of the course. Copies of the slides will be available for download. We will also provide a detailed list of references and textbooks.
Literatur	Markus Gross: Computer Graphics, scriptum, 1994-2005
252-0543-01L	Computer Graphics	8 KP	3V + 2U + 2A	M. Gross, M. Papas
Kurzbeschreibung	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.
Lernziel	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.
Inhalt	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.
Skript	no
Literatur	Books: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting Multiple view geometry in computer vision Physically Based Rendering: From Theory to Implementation
Voraussetzungen / Besonderes	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.
263-5702-00L	Seminar on Digital Humans Number of participants limited to 24. The deadline for deregistering expires at the end of the third week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.	2 KP	2S	M. Gross, B. Solenthaler, S. Tang, R. Wampfler
Kurzbeschreibung	This seminar covers advanced topic in digital humans with a focus on the latest research results. Topics include estimating human pose and motion from images, human motion synthesis, learning-based human avatar creation, learning neural implicit representations for humans, modeling, animations, artificial intelligence for digital characters, and others. A collection of research papers is selected.
Lernziel	The goal is to get an overview of actual research topics in the field of digital humans and to improve presentation and critical analysis skills.
Inhalt	This seminar covers advanced topics in digital humans including both seminal research papers as well as the latest research results. A collection of research papers are selected covering topics such as estimating human pose and motion from images, human motion synthesis, learning-based human avatar creation, learning neural implicit representations for humans, modeling, animations, artificial intelligence for digital characters, and others. Each student presents one paper to the class and leads a discussion about the paper. All students read the papers and participate in the discussion.
Literatur	Individual research papers are selected each term. See https://vlg.inf.ethz.ch/ and http://graphics.ethz.ch/ for example papers.
264-5800-20L	Doctoral Seminar in Visual Computing (HS22)	1 KP	1S	D. B. Baráth, M. Gross, M. Pollefeys, B. Solenthaler, O. Sorkine Hornung, S. Tang
Kurzbeschreibung	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.
Lernziel	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.
Inhalt	Current research at the IVC will be presented and discussed.
Voraussetzungen / Besonderes	This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.