Geometry Processing @ LMU Munich Winter Semester 2021/22
- Homepage: http://mimuc.de/gp
- Instructor: Changkun Ou
- Responsible Professor: Prof. Dr. Butz
- Date: Monday, 2 p.m. - 6 p.m. c.t. (starts on Oct 18, 2021)
- Location: Frauenlobstr. 7a, Raum 357
The course is designed for senior bachelor students or master students who have taken those following courses (or have equivalent knowledge):
Registration is open at Uni2Work.
We will introduce and use the following toolkits for this course:
Please install all of them in advance and take a glance to these tools beforehand.
We use GitHub to manage all course resources, submissions, project proposals, etc. and use the discussions feature for online questions and discussions.
In this practical course, students will learn and practice more about geometry processing algorithms in 3D graphics, including mesh representation, discrete differential geometry, smoothing, parameterization, remeshing, deformation, shape analysis, etc.
Students will participate in the course every week to discuss and learn more geometry processing techniques at the beginning of the semester, then do 5 out of 8 geometry processing coding projects.
During the rest of the semester, students should propose a project idea throughout the semester, and by the end of the semester, implement and demonstrate their project in 1) idea-pitch presentation; 2) intermediate presentation; 3) final presentation.
| Date | Topic | Slides |
|---|---|---|
| Organization | Link | |
| 18.10.2021 | Introduction | Link |
| 25.10.2021 | Discrete Differential Geometry | Link |
| 08.11.2021 | Smoothing | Link |
| 15.11.2021 | Parameterization | TBA |
| 22.11.2021 | Remeshing | TBA |
| 29.11.2021 | Deformation | TBA |
| 06.12.2021 | Data-driven Approach I: Geometric Deep Learning | TBA |
| 10.01.2021 | Data-driven Approach II: Differentiable Rendering | TBA |
| 27.01.2022 | Project Idea-Pitch | Presentation |
| 07.02.2022 | Project Intermediate | Presentation |
| 14.02.2022 | Project Final | Presentation |
The grading scheme contains two parts: homework projects and individual project.
Homework projects contribute 50% of the final grades. Select 5 out of 7 given projects (5x10%), or feel free to finish them all (no bonus, but learn more interesting algorithms).
| Proportion | Topic | Deadline |
|---|---|---|
| 10% | Implement the Halfedge Structure |  01.11.2021 00:00:00 |
| 10% | Implement discrete curvatures |  15.11.2021 00:00:00 |
| 10% | TBA | TBA |
| 10% | TBA | TBA |
| 10% | TBA | TBA |
| 10% | TBA | TBA |
| 10% | TBA | TBA |
Individual projects contributes 50% of the final grade, and separated into parts:
- (10%) Proposal document, idea-pitch presentation (1 minute)
- (10%) Intermediate representation (5 minutes)
- (10%) Video submission (<5 minutes)
- (10%) Final presentation (10 minutes)
- (10%) Code submission
The timeline for individual projects are as follows:
| Submission | Deadline |
|---|---|
| Proposal Submission | 01.01.2022 00:00:00 |
| Intermediate Submission | 15.01.2022 00:00:00 |
| Video Submission | 30.01.2022 00:00:00 |
| Presentation | 08.02.2022 00:00:00 |
| Code Submission | 08.02.2022 00:00:00 |
Note that the individual project can be conducted in parallel with the coding projects, meaning the individual projects can be submitted anytime before the deadline; Individual projects do not mean students cannot collaborate with each other. A maximum of three students can collaborate with each other to work on the same foundation of the the project, but eventually each individual project should have their uniquely implemented geometry processing algorithm or feature.
Find more details about how to do an individual project here.
Start a new discussion thread.
Copyright © 2020-2022 LMU Munich Media Informatics Group by Changkun Ou.