Nils Thuerey
Cited by
Cited by
Deep fluids: A generative network for parameterized fluid simulations
B Kim, VC Azevedo, N Thuerey, T Kim, M Gross, B Solenthaler
Computer graphics forum 38 (2), 59-70, 2019
Deep learning methods for Reynolds-averaged Navier–Stokes simulations of airfoil flows
N Thuerey, K Weißenow, L Prantl, X Hu
AIAA Journal 58 (1), 25-36, 2020
tempogan: A temporally coherent, volumetric gan for super-resolution fluid flow
Y Xie, E Franz, M Chu, N Thuerey
ACM Transactions on Graphics (TOG) 37 (4), 1-15, 2018
WeatherBench: a benchmark data set for data‐driven weather forecasting
S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey
Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020
Lattice Boltzmann model for free surface flow for modeling foaming
C Körner, M Thies, T Hofmann, N Thürey, U Rüde
Journal of statistical Physics 121, 179-196, 2005
Wavelet turbulence for fluid simulation
T Kim, N Thürey, D James, M Gross
ACM Transactions on Graphics (TOG) 27 (3), 1-6, 2008
Latent space physics: Towards learning the temporal evolution of fluid flow
S Wiewel, M Becher, N Thuerey
Computer graphics forum 38 (2), 71-82, 2019
Learning temporal coherence via self-supervision for GAN-based video generation
M Chu, Y Xie, J Mayer, L Leal-Taixé, N Thuerey
ACM Transactions on Graphics (TOG) 39 (4), 75: 1-75: 13, 2020
Solver-in-the-loop: Learning from differentiable physics to interact with iterative pde-solvers
K Um, R Brand, YR Fei, P Holl, N Thuerey
Advances in Neural Information Processing Systems 33, 6111-6122, 2020
Neural scene graphs for dynamic scenes
J Ost, F Mannan, N Thuerey, J Knodt, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Data-driven synthesis of smoke flows with CNN-based feature descriptors
M Chu, N Thuerey
ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017
Deforming meshes that split and merge
C Wojtan, N Thürey, M Gross, G Turk
ACM SIGGRAPH 2009 papers, 1-10, 2009
Learning to control pdes with differentiable physics
P Holl, V Koltun, N Thuerey
arXiv preprint arXiv:2001.07457, 2020
Lagrangian fluid simulation with continuous convolutions
B Ummenhofer, L Prantl, N Thuerey, V Koltun
International Conference on Learning Representations, 2019
Data‐driven medium‐range weather prediction with a resnet pretrained on climate simulations: A new model for weatherbench
S Rasp, N Thuerey
Journal of Advances in Modeling Earth Systems 13 (2), e2020MS002405, 2021
Detail-preserving fluid control
N Thürey, R Keiser, M Pauly, U Rüde
Graphical Models 71 (6), 221-228, 2009
Highly adaptive liquid simulations on tetrahedral meshes
R Ando, N Thürey, C Wojtan
ACM Transactions on Graphics (TOG) 32 (4), 1-10, 2013
A multiscale approach to mesh-based surface tension flows
N Thürey, C Wojtan, M Gross, G Turk
ACM Transactions on Graphics (TOG) 29 (4), 1-10, 2010
Performance evaluation of parallel large-scale lattice Boltzmann applications on three supercomputing architectures
T Pohl, F Deserno, N Thurey, U Rude, P Lammers, G Wellein, T Zeiser
SC'04: Proceedings of the 2004 ACM/IEEE Conference on Supercomputing, 21-21, 2004
Real time physics: class notes
M Müller, J Stam, D James, N Thürey
ACM siggraph 2008 classes, 1-90, 2008
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Articles 1–20