Master-Seminar – Deep Learning in Computer Graphics (IN2107, IN0014)
Benjamin Holzschuh and Nils Thuerey
| Time, Place | Wednesdays 12:00-14:00 in room: MI 02.13.010 |
| Begin | Begin: Wednesday April 15, 2026 Online via BBB https://bbb.cit.tum.de/nil-djw-hjw |
| Prerequisites | Introduction to Deep Learning |
Content
In this course, students will autonomously investigate recent research about machine learning techniques in computer graphics. Independent investigation for further reading, critical analysis, and evaluation of the topic are required.
References
- Thuerey group: List of Publications (including Physics-based Deep Learning works)
- Book: Bishop, Pattern Recognition and Machine Learning
- Book: Hastie et al., The Elements of Statistical Learning
- Book/Online: Goodfellow et al., Deep Learning
- Online: Nielsen, Neural Networks and Deep Learning
- Online: Ruder, An Overview of Gradient Descent Optimization Algorithms