Computer Graphics Laboratory

Seminar 'Advanced Methods in Computer Graphics' - SS 19

Description

Course Topics

This seminar covers advanced topics in visual computing, including both seminal research papers as well as the latest research results. The main topic areas are image and video processing, capture, rendering, visualization, simulation, fabrication as well as machine learning in graphics.

Course Setup

Every participant has to present one of the papers in the list below. Additionally, you are required to read the paper that is presented in class beforehand and participate in a discussion during the seminar. An assistant will provide support when preparing the slides and in case technical questions arise.

Learning Objectives

The goal is to get an in-depth understanding of actual problems and research topics in the field of visual computing as well as improve presentations and critical analysis skills.

Prerequisites

The "Visual Computing", "Introduction to Computer Graphics" and "Computer Vision I" courses are recommended, but not mandatory.

Administration

Presence

Presence is mandatory to pass the seminar. If a student cannot attend a seminar session, the reason (e.g. medical certificate) has to be given before the session and must be accepted by one of the organizers. More than three missed seminar sessions will cause the student to fail this class. The dates for the presentations can not be moved except there is someone willing to switch.

Grading

The presentation of the selected paper contributes 75% to the final grade. Additionally, the students are required to submit a short abstract of each paper before the class as well as to participate in the group discussions after the presentations. Both will be documented by the organizers and contributes 25% to the final grade.

Organization and Grading

Number	252-5704-00L
Lecturers	M. Gross, O. Sorkine-Hornung
Assistants	Dr. Vinicius C. Azevedo (vinicius.azevedoinf.ethz.ch), CNB G 102.1 Dr. Tobias Günther (tobias.guentherinf.ethz.ch), CNB G 102.1 Dr. Jérémy Riviere (jeremy.rivieredisneyresearch.com)
Location	CAB G 52, Fridays 13:00-15:00