Vorlesung: Advanced Topics in Computer Graphics I

Veranstaltung
- Dozent(en):
- Beginn: 09.04.2019
- Zeiten: Tue. 12:15 - 13:45 HS 3 and Thu. 12:15 - 13:45 HS 3
- Veranstaltungsnummer: MA-INF 2209
- Studiengang: Master
- Diplom-Fachgebiet: B
- Aufwand: 4.0 SWS
Übung
- Betreuer:
- Beginn: TBA.
- Zeiten: TBA.
Beschreibung
Digital geometric models find nowadays numerous applications ranging from industrial CAD and terrain or scientific visualization to games and movie productions. This lecture covers all aspects of DGM from their aquisiton and representation to editing and processing. In detail it discusses the following topics: This lecture discusses advanced rendering techniques that aim at highly realistic images. Particular emphasis lies on high quality depictions of materials. In detail the topics of this lecture are: Rendering Digital geometric models Here you can find the lecture in Digital geometric models
Rendering
Literature
Basis.
Starting the lecture
Please inscribe yourself to the mailinglist.
In this lecture you will have the chance to learn many interesting theoretical as well as practical topics. In case you have a problem understanding something, please always feel free to write to the mailing list. This should be a place where you students can talk freely about the lecture, so please do not hesitate to ask and reply! Of course, the tutors are also subscribed on the mailing list and will reply as well.
The book "Polygon Mesh Processing" mentioned bellow is also available for reading at our institute - though it may be more interesting for later topics. If you are curious, just ask.
Good start!
Folien
- Introduction and Review (PDF-Dokument, 44 MB)
- RNNs (PDF-Dokument, 5.8 MB)
- RNNs & Autoencoders (PDF-Dokument, 13.3 MB)
- Segmentation (PDF-Dokument, 12.6 MB)
- Generative Modeling (PDF-Dokument, 18.3 MB)
- Texture Synthesis and Style Transfer (1) (PDF-Dokument, 24 MB)
- Texture Synthesis, Style Transfer and Superresolution (2) (PDF-Dokument, 131 MB)
- 3D Deep Learning (PDF-Dokument, 7.5 MB)
- Optical Material Properties (PDF-Dokument, 41 MB)
- Neural Scene Representation & Rendering (PDF-Dokument, 7.2 MB)
Übungsaufgaben
|
Übung 1: Autoencoder Übungsblatt (PDF-Dokument, 141 KB) |
|
Übung 2: ImageSegmentation Übungsblatt (PDF-Dokument, 527 KB) |
|
Übung 3: Superresolution Übungsblatt (PDF-Dokument, 689 KB) |
|
Übung 4: 3DDeepLearning Übungsblatt (PDF-Dokument, 134 KB) |
Weitere Dokumente
- 04-kaplanyan - real-time neural rendering in image space (PDF-Dokument, 24 MB)
- ADLG - Questions (23 July - 1845) (PDF-Dokument, 94 KB)