Master-Seminar – Machine Learning in Graphics

LecturerProf. Dr. Nils ThuereyProf. Dr. Rüdiger WestermannDr. Kiwon Um, and Wei He
StudiesMaster Informatics
Time, PlaceMondays 16:00-18:00, Seminarraum MI 02.13.010
Begin16 October 2017


In this course, students will autonomously investigate recent research about machine learning techniques in the computer graphics area. Independent investigation for further reading, critical analysis, and evaluation of the topic are required.


  • The participants have to present their topics in a talk (in English), which should last 30 minutes.
  • The semi-final slides (PDF) should be sent one week before the talk; otherwise, the talk will be canceled.
  • A short report (approximately 3-4 pages in the ACM SIGGRAPH TOG format (acmtog)) should be prepared and sent within two weeks after the talk. When you send the report, please send the final slides (PDF) together.

Preliminary Schedule

10 July 2017Kick-off meeting in room MI 02.13.010 at 16:00
15 September 2017Deadline for sending an e-mail with 3 preferences
22 September 2017Notification of assigned paper


16 Oct 2017Tobias Bernecker2016, Dong et al., Image Super-Resolution Using Deep Convolutional Networks, IEEE Trans. Pattern Anal. Mach. Intell.
23 Oct 2017Palle Klewitz2014, Goodfellow et al., Generative Adversarial Networks, Advances in Neural Information Processing Systems 27
23 Oct 2017Haoran Chen2015, Mnih et al., Human-Level Control Through Deep Reinforcement Learning, Nature
06 Nov 2017Maximilian Werhahn2017, Yi et al., Learning Hierarchical Shape Segmentation and Labeling from Online Repositories, ACM Trans. Graph.
canceledVirendra Kumar Pathak2017, Wang et al., O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis, ACM Trans. Graph.
canceledHyeon Su Kim2016, Ruder et al., Artistic Style Transfer for Videos,
(optional) 2015, Gatys et al., A Neural Algorithm of Artistic Style,
06 Nov 2017Artem Bishev2017, Chu and Thuerey, Data-driven Synthesis of Smoke Flows with CNN-based Feature Descriptors, ACM Trans. Graph.
13 Nov 2017Tuba Topaloglu2017, Li et al., Deep Extraction of Manga Structural Lines, ACM Trans. Graph.
13 Nov 2017Christoph Neuhauser2017, Gharbi et al., Deep Bilateral Learning for Real-time Image Enhancement, ACM Trans. Graph.
20 Nov 2017Maria Dreher2015, Gryka et al., Learning to Remove Soft Shadows, ACM Trans. Graph.
20 Nov 2017Felix Neumeyer2017, Bako et al., Kernel-predicting Convolutional Networks for Denoising Monte Carlo Renderings, ACM Trans. Graph.
canceledTobias Zengerle2016, Peng et al., Terrain-adaptive Locomotion Skills Using Deep Reinforcement Learning, ACM Trans. Graph.
27 Nov 2017Max Heimbrock2017, Holden et al., Phase-functioned Neural Networks for Character Control, ACM Trans. Graph.
04 Dec 2017Luca Klingenberg2017, Karras et al., Audio-driven Facial Animation by Joint End-to-end Learning of Pose and Emotion, ACM Trans. Graph.
04 Dec 2017Hans Rauer2017, Suwajanakorn et al., Synthesizing Obama: Learning Lip Sync from Audio, ACM Trans. Graph.
11 Dec 2017Reza Roustaei Khoshkbijari2017, Dahl et al., Pixel Recursive Super Resolution,

You can access the papers through TUM library's eAccess.