Seminar Advances in Computer Graphics

Lecturer: Prof. Dr. Butz
People in charge: Changkun Ou, Dennis Dietz
Hours per week: 2
ECTS credits: 6
Modul: P4.1 und P4.2: Seminar zu Themen der Medieninformatik und sozialen Kompetenz (for Master)
Language: English

• News
• Dates and Locations
• Contents
• Communication and Questions
• Registration
• Requirements
  • Prior Knowledge
  • Attendance
  • Presentation
  • Written Paper
• Material
• Schedule
• Useful Links & Further Reading Suggestions

News

• 15.09.19: The kickoff slides is avaliable here.
• 10.07.19: The first lecture will take place on October 15th 2019!

Dates and Locations

• Dates: Tuesdays 4 - 6 pm c.t.
• Location: Frauenlobstr. 7a, Room 357

Contents

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.

At the end of the semester, all students are required to submit a written paper (maximum 10 pages).

The course is suitable for:

• Media computer science students (Master)
• Computer science students (Master)
• Human-Computer interaction students (Master)

Communication and Questions

We use Slack to discuss everything related to the seminar. Please sign up and join the discussion, you can ask all your questions there.

Registration

Registration is managed in Uni2Work.

Requirements

Prior Knowledge

• Computer Graphics: Working knowledge in computer graphics, e.g. basic understanding of rendering pipeline, shading, animation principles. Attendance of Computer Graphics I is recommended but not required. A good plus knowledge in real-time rendering would refer to Parallel and High-Performance Computing, but it is not mandatory.
• Machine Learning: Working knowledge in machine learning, e.g. basic understanding in convolutional neural networks, non-convex optimization principles. Attendance of Machine Learning is recommended but not required.

Attendance

All students should present them at all presentations and the kickoff meeting.

Presentation

• All presentations should be in English. There is no restriction of layout, but all slides should be structured according to the presentation.
• Plagiarism is strictly prohibited.
• Adapters and laser pointer will be provided if you would like to use them, but you need to bring your own laptop.

Written Paper

All students is required to write a paper (maximum 10 pages in ACM acmtog format) regarding their presented paper.

Material

• To be added

Schedule

Date	Event	Topics
15.10.2019	Introduction and distribution of topics	Attendance compulsory
22.10.2019	Delivery Package I	No session
29.10.2019	Delivery Package II	No session
05.11.2019	Delivery Package III	No session
12.11.2019	Delivery Package IV	No session
19.11.2019	Literature Presentation	Attendance compulsory
26.11.2019	Literature Presentation	Attendance compulsory
22.12.2019	Delivery Package V	No session
07.01.2020	Delivery Package VI	No session
14.01.2020	Delivery Package VII	No session
24.01.2020	Delivery Package VII	No session
28.01.2020	Paper Presentation	Attendance compulsory
04.02.2020	Paper Presentation	Attendance compulsory

Useful Links & Further Reading Suggestions

• To be added