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.azevedo inf.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 |
Links
-
Powerpoint Template
- Introduction slides
- Presentation Guidelines and Abstract Submission Forms (Slide 15)
Schedule
Further Papers
- MonoPerfCap: Human Performance Capture from Monocular Video
- Anatomically-Constrained Local Deformation Model for Monocular Face Capture
- Practical Dynamic Facial Appearance Modeling and Acquisition
- A Dual Light Stage
- Polarization Imaging Reflectometry in the Wild
- Extinction-Optimized Volume Illumination
- SPNets: Differentiable Fluid Dynamics for Deep Neural Networks