Generative neural networks and vorticity filaments

We just added two new publications. One of them focuses on robust decompositions of fluid flows into vortex filaments, and it will be presented at SCA 2017 in Los Angeles soon. You can find all detail on the accompanying page, and you can see a preview below.

The other work targets generative neural networks (full details here). In this case the network actually generates a dense space-time deformation field to capture spaces of liquid behavior. We have also created a proof-of-concept Android app (Lukas Prandtl was the main driving force behind this one), which you can download to try it out yourself. The app evaluates the full trained neural network every time you tap to synthesize the corresponding deformation field. This is especially tough in our setting, as the network employs 4D deconvolution layers that need to be evaluated on the mobile device.

SIGGRAPH 2017 papers are up

Our SIGGRAPH 2017 papers are online now. They target covolutional neural networks for detailed smoke, perceptual evaluations, neural network splashes, and robust cutting of deformable objects.

You can e.g. check out the corresponding videos here:

 

Our new group website is online

The Thuerey group (Professorship for Games Engineering) of TUM Informatics is getting a new website – and obviously, you already found it! Great 🙂

Please be aware that we’re still adding the content of the website, so it will increase over the course of the next weeks.

At this point we’d also like to thank Ryoichi Ando from NII Tokyo for the beautiful image on the front page. It’s from our liquids stream function paper: http://pub.ist.ac.at/group_wojtan/projects/2015_Ando_ASFSfLS/index.html