Fakultät Informatik

Deep Learning and Numerical Simulations for Visual Effects


Deep Learning and Numerical Simulations for Visual Effects (IN 2298)

Time, Place:

Wednesday , 16:00,  HS2

Thursday, 10:00,  HS2

First lecture: Thu., Apr. 27.,2017


Computer Graphics and Game Physics highly recommended


moodle page





This course targets machine learning techniques and numerical simulation
algorithms for materials such as fluids and deformable objects in the context
of computer animation. The lecture and exercises will all be in English. The following topics are discussed:

  • Convolutional neural networks & deep learning techniques
  • Physically-based animation, fluid modeling
  • Discretizations, and partial differential equations
  • Exercises to gain hands-on experience with CNN training and fluid simulation algorithms


Computer Gaphics Fundamentals, and Game Physics (Lagrangian simulation techniques)



Machine Learning

Computational Fluid Dynamics


  • William S. Slaughter, The linearized theory of elasticity, Birkhaeuser, 2002

Computer Animation

  • Parent: Computer Animation: Algorithms and Techniques, Morgan Kaufmann



Lecture Slides

Will be made available on the moodle page



Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.


A new PhD/PostDoc position on  Computational Fabrication and 3D Printing is available at the Computer Graphics & Visualization group.


A new PhD position is available at the games engineering group.  Check it out here.