Master Seminar "Advances in Computer Graphics"

Beschreibung
In recent years of computer graphics research, people start to convey the fundamentals techniques regarding machine learning techniques into a 3D world (non-Euclidean data), e.g., applying graph neural networks to manifold meshes.
In this seminar, students discuss the recent developments in computer graphics, including the developments of geometric processing, rendering, simulation techniques, GPU acceleration and etc., which integrated into four parts of the seminar: group presentation, individual presentation, discussion panel, and written report.
The group presentation session initially builds teams of 3-4 people and each team is responsible for a general topic. Each team should give a 60~80 minutes presentation (20 min for each team member) regarding the selected topic, and other teams should prepare at least one question to other group presentations.
In individual presentation session, each participant will choose a paper from the given reading list, and held an individual presentation for 30 minutes (20+10 min). In the meantime, the discussion panel requires each presenter also selects two papers (exclude the presented paper) to prepare at least one question to the presented paper and one presentation suggestion to other presenter.
At the end of the semester, all students are required to submit a written report regarding the individually presented paper.
At the end of the semester, all students are required to submit a written report (maximum 4 pages) regarding the individually presented paper.
The course is suitable for:
  • Media computer science students (Master)
  • Computer science students (Master)
  • Human-Computer interaction students (Master)

More detail regarding the schedule of the course can be found in: http://www.medien.ifi.lmu.de/lehre/ws1920/hs/
Institut
Institut für Informatik
Assistent:innen
Externe Homepage
http://www.medien.ifi.lmu.de/lehre/ws1920/hs/
Kursteilnehmer:innen
6 von 20
Zentralanmeldung
Hauptseminare (Master)
Anweisungen zur Bewerbung
Please describe yourself regarding how you fit the following three fields since prior knowledge to them are highly recommended for this seminar: - Computer Graphics - Machine Learning You can submit a pure text description or your CV with relevant project experience.
Material

Die Übungsblatter zum Kurs finden Sie hier: Übungsblätter

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