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Nils Thürey
Nils Thuerey
Person information
- affiliation: TU Munich, Faculty of Computer Science
- affiliation: Scanline VFX, Munich
- affiliation: ETH Zurich, Computer Graphics Laboratory
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2020 – today
- 2024
- [j45]Philipp Holl
, Nils Thuerey
Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy. J. Open Source Softw. 9(96): 6171 (2024) - [c43]Patrick Schnell, Nils Thuerey:
Stabilizing Backpropagation Through Time to Learn Complex Physics. ICLR 2024 - [c42]Rene Winchenbach, Nils Thuerey:
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. ICLR 2024 - [c41]Philipp Holl, Nils Thuerey:
ΦFlow: Differentiable Simulations for PyTorch, TensorFlow and Jax. ICML 2024 - [i55]Björn List, Li-Wei Chen, Kartik Bali, Nils Thuerey:
How Temporal Unrolling Supports Neural Physics Simulators. CoRR abs/2402.12971 (2024) - [i54]Rene Winchenbach, Nils Thuerey:
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. CoRR abs/2403.16680 (2024) - [i53]Li-Wei Chen, Nils Thuerey:
Deep learning-based predictive modelling of transonic flow over an aerofoil. CoRR abs/2403.17131 (2024) - [i52]Patrick Schnell, Nils Thuerey:
Stabilizing Backpropagation Through Time to Learn Complex Physics. CoRR abs/2405.02041 (2024) - [i51]Qingsong Xu, Nils Thuerey, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu:
Physics-embedded Fourier Neural Network for Partial Differential Equations. CoRR abs/2407.11158 (2024) - [i50]Philipp Holl, Nils Thuerey:
The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks. CoRR abs/2408.08119 (2024) - [i49]Qiang Liu, Mengyu Chu, Nils Thuerey:
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. CoRR abs/2408.11104 (2024) - [i48]Benjamin J. Holzschuh, Nils Thuerey:
Flow Matching for Posterior Inference with Simulator Feedback. CoRR abs/2410.22573 (2024) - [i47]Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey:
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. CoRR abs/2411.00180 (2024) - 2023
- [j44]You Xie, Nils Thuerey:
Reviving autoencoder pretraining. Neural Comput. Appl. 35(6): 4587-4619 (2023) - [c40]Georg Kohl
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. AAAI 2023: 8351-8359 - [c39]Erik Franz, Barbara Solenthaler, Nils Thuerey:
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. ICLR 2023 - [c38]Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey:
Solving Inverse Physics Problems with Score Matching. NeurIPS 2023 - [c37]Chloé Paliard, Nils Thuerey, Kiwon Um:
Exploring Physical Latent Spaces for High-Resolution Flow Restoration. VMV 2023: 199-207 - [i46]Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey:
Score Matching via Differentiable Physics. CoRR abs/2301.10250 (2023) - [i45]Erik Franz, Barbara Solenthaler, Nils Thuerey:
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. CoRR abs/2302.14470 (2023) - [i44]Georg Kohl
Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models. CoRR abs/2309.01745 (2023) - [i43]Robin Greif, Frank Jenko, Nils Thuerey:
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence. CoRR abs/2309.16400 (2023) - [i42]Qiang Liu, Nils Thuerey:
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models. CoRR abs/2312.05320 (2023) - 2022
- [c36]You Xie, Huiqi Mao, Angela Yao, Nils Thuerey:
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. CVPR 2022: 3440-3449 - [c35]Patrick Schnell, Philipp Holl, Nils Thuerey:
Half-Inverse Gradients for Physical Deep Learning. ICLR 2022 - [c34]Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel:
A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. IROS 2022: 4757-4764 - [c33]Philipp Holl, Vladlen Koltun, Nils Thuerey:
Scale-invariant Learning by Physics Inversion. NeurIPS 2022 - [c32]Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey:
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS 2022 - [c31]Igor Santesteban, Miguel A. Otaduy, Nils Thuerey, Dan Casas:
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On. NeurIPS 2022 - [c30]Rene Winchenbach, Nils Thuerey:
Visualizing Optimizers using Chebyshev Proxies and Fatou Sets. VMV 2022: 75-82 - [i41]Georg Kohl
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. CoRR abs/2202.04109 (2022) - [i40]Björn List, Li-Wei Chen, Nils Thürey:
Learned Turbulence Modelling with Differentiable Fluid Solvers. CoRR abs/2202.06988 (2022) - [i39]Jonathan Klimesch, Philipp Holl, Nils Thuerey:
Simulating Liquids with Graph Networks. CoRR abs/2203.07895 (2022) - [i38]Patrick Schnell, Philipp Holl, Nils Thuerey:
Half-Inverse Gradients for Physical Deep Learning. CoRR abs/2203.10131 (2022) - [i37]You Xie, Huiqi Mao, Angela Yao, Nils Thuerey:
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. CoRR abs/2204.03671 (2022) - [i36]Sagar Garg
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. CoRR abs/2205.00865 (2022) - [i35]Maximilian Müller, Robin Greif, Frank Jenko, Nils Thuerey:
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations. CoRR abs/2205.01222 (2022) - [i34]Brener Ramos, Felix Trost, Nils Thuerey:
Control of Two-way Coupled Fluid Systems with Differentiable Solvers. CoRR abs/2206.00342 (2022) - [i33]Lukas Prantl, Jan Bender, Tassilo Kugelstadt, Nils Thuerey:
Wavelet-based Loss for High-frequency Interface Dynamics. CoRR abs/2209.02316 (2022) - [i32]Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey:
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR abs/2210.06036 (2022) - [i31]Chloé Paliard, Nils Thuerey, Kiwon Um:
Exploring Physical Latent Spaces for Deep Learning. CoRR abs/2211.11298 (2022) - 2021
- [j43]Kiwon Um
Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System. ACM Trans. Appl. Percept. 18(2): 6:1-6:15 (2021) - [j42]Mengyu Chu
Learning meaningful controls for fluids. ACM Trans. Graph. 40(4): 100:1-100:13 (2021) - [j41]Tassilo Kugelstadt
Implicit Density Projection for Volume Conserving Liquids. IEEE Trans. Vis. Comput. Graph. 27(4): 2385-2395 (2021) - [j40]Sebastian Weiss
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. IEEE Trans. Vis. Comput. Graph. 27(6): 3064-3078 (2021) - [c29]Erik Franz, Barbara Solenthaler, Nils Thuerey:
Global Transport for Fluid Reconstruction With Learned Self-Supervision. CVPR 2021: 1632-1642 - [c28]Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide:
Neural Scene Graphs for Dynamic Scenes. CVPR 2021: 2856-2865 - [c27]Igor Santesteban
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CVPR 2021: 11763-11773 - [c26]Suprosanna Shit
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. IPMI 2021: 545-558 - [i30]Erik Franz, Barbara Solenthaler, Nils Thuerey:
Global Transport for Fluid Reconstruction with Learned Self-Supervision. CoRR abs/2104.06031 (2021) - [i29]Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas:
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CoRR abs/2105.06462 (2021) - [i28]Li-Wei Chen
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils. CoRR abs/2109.02183 (2021) - [i27]Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um:
Physics-based Deep Learning. CoRR abs/2109.05237 (2021) - [i26]Philipp Holl, Vladlen Koltun, Nils Thuerey:
Physical Gradients for Deep Learning. CoRR abs/2109.15048 (2021) - 2020
- [j39]Steffen Wiewel, Byungsoo Kim
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. Comput. Graph. Forum 39(8): 15-25 (2020) - [j38]Mengyu Chu
Learning temporal coherence via self-supervision for GAN-based video generation. ACM Trans. Graph. 39(4): 75 (2020) - [j37]Hikaru Ibayashi
Simulating Liquids on Dynamically Warping Grids. IEEE Trans. Vis. Comput. Graph. 26(6): 2288-2302 (2020) - [c25]Sebastian Weiss, Robert Maier
Correspondence-Free Material Reconstruction using Sparse Surface Constraints. CVPR 2020: 4685-4694 - [c24]Philipp Holl, Nils Thuerey, Vladlen Koltun:
Learning to Control PDEs with Differentiable Physics. ICLR 2020 - [c23]Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey:
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. ICLR 2020 - [c22]Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun:
Lagrangian Fluid Simulation with Continuous Convolutions. ICLR 2020 - [c21]Georg Kohl, Kiwon Um, Nils Thuerey:
Learning Similarity Metrics for Numerical Simulations. ICML 2020: 5349-5360 - [c20]Kiwon Um, Robert Brand, Yun (Raymond) Fei, Philipp Holl, Nils Thuerey:
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. NeurIPS 2020 - [i25]Philipp Holl, Vladlen Koltun, Nils Thuerey:
Learning to Control PDEs with Differentiable Physics. CoRR abs/2001.07457 (2020) - [i24]Georg Kohl
Learning Similarity Metrics for Numerical Simulations. CoRR abs/2002.07863 (2020) - [i23]Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey:
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. CoRR abs/2003.08723 (2020) - [i22]Hao Ma, Xiangyu Hu, Yuxuan Zhang, Nils Thuerey, Oskar J. Haidn:
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks. CoRR abs/2005.08119 (2020) - [i21]Kiwon Um, Yun (Raymond) Fei, Philipp Holl, Robert Brand, Nils Thuerey:
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. CoRR abs/2007.00016 (2020) - [i20]You Xie, Nils Thuerey:
Data-driven Regularization via Racecar Training for Generalizing Neural Networks. CoRR abs/2007.00024 (2020) - [i19]Kiwon Um, Xiangyu Hu, Nils Thuerey:
Perceptual Evaluation of Liquid Simulation Methods. CoRR abs/2011.10257 (2020) - [i18]Marie-Lena Eckert, Kiwon Um, Nils Thuerey:
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning. CoRR abs/2011.10284 (2020) - [i17]Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide:
Neural Scene Graphs for Dynamic Scenes. CoRR abs/2011.10379 (2020)
2010 – 2019
- 2019
- [j36]Byungsoo Kim
Deep Fluids: A Generative Network for Parameterized Fluid Simulations. Comput. Graph. Forum 38(2): 59-70 (2019) - [j35]Steffen Wiewel, Moritz Becher, Nils Thürey:
Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow. Comput. Graph. Forum 38(2): 71-82 (2019) - [j34]Maximilian Werhahn, You Xie, Mengyu Chu
A Multi-Pass GAN for Fluid Flow Super-Resolution. Proc. ACM Comput. Graph. Interact. Tech. 2(2): 10:1-10:21 (2019) - [j33]Marie-Lena Eckert, Kiwon Um
ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning. ACM Trans. Graph. 38(6): 239:1-239:16 (2019) - [c19]Lukas Prantl, Boris Bonev, Nils Thuerey:
Generating Liquid Simulations with Deformation-aware Neural Networks. ICLR (Poster) 2019 - [c18]Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas:
CreativeAI: deep learning for graphics. SIGGRAPH Courses 2019: 8:1-8:265 - [i16]Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey:
A Multi-Pass GAN for Fluid Flow Super-Resolution. CoRR abs/1906.01689 (2019) - [i15]Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann:
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. CoRR abs/1906.06520 (2019) - [i14]Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey:
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. CoRR abs/1907.05279 (2019) - [i13]Sebastian Weiss, Robert Maier, Rüdiger Westermann, Daniel Cremers, Nils Thuerey:
Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. CoRR abs/1910.01812 (2019) - 2018
- [j32]Takahiro Sato, Christopher Wojtan
Extended Narrow Band FLIP for Liquid Simulations. Comput. Graph. Forum 37(2): 169-177 (2018) - [j31]Marie-Lena Eckert, Wolfgang Heidrich
Coupled Fluid Density and Motion from Single Views. Comput. Graph. Forum 37(8): 47-58 (2018) - [j30]Kiwon Um
Liquid Splash Modeling with Neural Networks. Comput. Graph. Forum 37(8): 171-182 (2018) - [j29]Bo Ren, Xu-Yun Yang, Ming C. Lin, Nils Thuerey, Matthias Teschner, Chen-Feng Li
Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report. J. Comput. Sci. Technol. 33(3): 431-451 (2018) - [j28]You Xie, Erik Franz, Mengyu Chu
tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow. ACM Trans. Graph. 37(4): 95 (2018) - [i12]You Xie, Erik Franz, Mengyu Chu, Nils Thuerey:
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow. CoRR abs/1801.09710 (2018) - [i11]Steffen Wiewel, Moritz Becher, Nils Thuerey:
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow. CoRR abs/1802.10123 (2018) - [i10]Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler:
Deep Fluids: A Generative Network for Parameterized Fluid Simulations. CoRR abs/1806.02071 (2018) - [i9]Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey:
Coupled Fluid Density and Motion from Single Views. CoRR abs/1806.06613 (2018) - [i8]Nils Thuerey, Konstantin Weissenow, Harshit Mehrotra, Nischal Mainali, Lukas Prantl, Xiangyu Hu:
Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations. CoRR abs/1810.08217 (2018) - [i7]Mengyu Chu
Temporally Coherent GANs for Video Super-Resolution (TecoGAN). CoRR abs/1811.09393 (2018) - 2017
- [j27]Tiffany Inglis, Marie-Lena Eckert, James Gregson, Nils Thürey:
Primal-Dual Optimization for Fluids. Comput. Graph. Forum 36(8): 354-368 (2017) - [j26]Nils Thuerey:
Interpolations of Smoke and Liquid Simulations. ACM Trans. Graph. 36(1): 3:1-3:16 (2017) - [j25]Dan Koschier, Jan Bender, Nils Thuerey:
Robust eXtended finite elements for complex cutting of deformables. ACM Trans. Graph. 36(4): 55:1-55:13 (2017) - [j24]Mengyu Chu
Data-driven synthesis of smoke flows with CNN-based feature descriptors. ACM Trans. Graph. 36(4): 69:1-69:14 (2017) - [j23]Kiwon Um
Perceptual evaluation of liquid simulation methods. ACM Trans. Graph. 36(4): 143:1-143:12 (2017) - [c17]Sebastian Eberhardt, Steffen Weißmann, Ulrich Pinkall, Nils Thuerey:
Hierarchical vorticity skeletons. Symposium on Computer Animation 2017: 6:1-6:11 - [i6]Kiwon Um, Xiangyu Hu, Nils Thuerey:
Liquid Splash Modeling with Neural Networks. CoRR abs/1704.04456 (2017) - [i5]Boris Bonev, Lukas Prantl, Nils Thuerey:
Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. CoRR abs/1704.07854 (2017) - [i4]Mengyu Chu
Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors. CoRR abs/1705.01425 (2017) - 2016
- [j22]Florian Ferstl, Ryoichi Ando
Narrow Band FLIP for Liquid Simulations. Comput. Graph. Forum 35(2): 225-232 (2016) - [j21]Ben Jones, Nils Thuerey, Tamar Shinar
Example-based plastic deformation of rigid bodies. ACM Trans. Graph. 35(4): 34:1-34:11 (2016) - [j20]Áron Monszpart
SMASH: physics-guided reconstruction of collisions from videos. ACM Trans. Graph. 35(6): 199:1-199:14 (2016) - [j19]José A. Canabal, David Miraut
Dispersion kernels for water wave simulation. ACM Trans. Graph. 35(6): 202:1-202:10 (2016) - [i3]Áron Monszpart, Nils Thuerey, Niloy J. Mitra:
SMASH: Data-driven Reconstruction of Physically Valid Collisions. CoRR abs/1603.08984 (2016) - [i2]Nils Thuerey:
Interpolations of Smoke and Liquid Simulations. CoRR abs/1608.08570 (2016) - [i1]Tiffany Inglis, Marie-Lena Eckert, James Gregson, Nils Thürey:
Primal-Dual Optimization for Fluids. CoRR abs/1611.03677 (2016) - 2015
- [j18]Ryoichi Ando
A Dimension-reduced Pressure Solver for Liquid Simulations. Comput. Graph. Forum 34(2): 473-480 (2015) - [j17]Ryoichi Ando
A stream function solver for liquid simulations. ACM Trans. Graph. 34(4): 53:1-53:9 (2015) - [j16]Olivier Mercier, Cynthia Beauchemin, Nils Thuerey, Theodore Kim, Derek Nowrouzezahrai:
Surface turbulence for particle-based liquid simulations. ACM Trans. Graph. 34(6): 202:1-202:10 (2015) - 2014
- [j15]Karthik Raveendran, Chris Wojtan
Blending liquids. ACM Trans. Graph. 33(4): 137:1-137:10 (2014) - [j14]James Gregson, Ivo Ihrke, Nils Thürey, Wolfgang Heidrich
From capture to simulation: connecting forward and inverse problems in fluids. ACM Trans. Graph. 33(4): 139:1-139:11 (2014) - [c16]Tobias Pfaff, Theodore Kim, Nils Thürey:
Turbulent Fluids. Eurographics (Tutorials) 2014: 6 - 2013
- [j13]Theodore Kim, Jerry Tessendorf, Nils Thürey:
Closest point turbulence for liquid surfaces. ACM Trans. Graph. 32(2): 15:1-15:13 (2013) - [j12]Ryoichi Ando
Highly adaptive liquid simulations on tetrahedral meshes. ACM Trans. Graph. 32(4): 103:1-103:10 (2013) - [c15]Nils Thuerey, Theodore Kim, Tobias Pfaff:
Turbulent fluids. SIGGRAPH Courses 2013: 6:1 - 2012
- [j11]Tobias Pfaff, Nils Thürey, Markus H. Gross
Lagrangian vortex sheets for animating fluids. ACM Trans. Graph. 31(4): 112:1-112:8 (2012) - [j10]Ryoichi Ando
Preserving Fluid Sheets with Adaptively Sampled Anisotropic Particles. IEEE Trans. Vis. Comput. Graph. 18(8): 1202-1214 (2012) - [c14]Karthik Raveendran, Nils Thürey, Chris Wojtan, Greg Turk:
Controlling Liquids Using Meshes. Symposium on Computer Animation 2012: 255-264 - 2010
- [j9]Nils Thürey, Christopher Wojtan
A multiscale approach to mesh-based surface tension flows. ACM Trans. Graph. 29(4): 48:1-48:10 (2010) - [j8]Christopher Wojtan
Physics-inspired topology changes for thin fluid features. ACM Trans. Graph. 29(4): 50:1-50:8 (2010) - [j7]Tobias Pfaff, Nils Thürey, Jonathan M. Cohen, Sarah Tariq, Markus H. Gross
Scalable fluid simulation using anisotropic turbulence particles. ACM Trans. Graph. 29(6): 174 (2010) - [c13]Thomas Oskam, Robert W. Sumner, Nils Thürey, Markus H. Gross:
Visibility Transition Planning for Dynamic Camera Control. MIG 2010: 325
2000 – 2009
- 2009
- [j6]Nils Thürey, Richard Keiser, Mark Pauly
Detail-preserving fluid control. Graph. Model. 71(6): 221-228 (2009) - [j5]Christopher Wojtan
Deforming meshes that split and merge. ACM Trans. Graph. 28(3): 76 (2009) - [j4]Tobias Pfaff, Nils Thürey, Andrew Selle, Markus H. Gross
Synthetic turbulence using artificial boundary layers. ACM Trans. Graph. 28(5): 121 (2009) - [c12]Thomas Oskam, Robert W. Sumner, Nils Thürey, Markus H. Gross
Visibility transition planning for dynamic camera control. Symposium on Computer Animation 2009: 55-65 - 2008
- [j3]Roland Angst, Nils Thürey, Mario Botsch
Robust and Efficient Wave Simulations on Deforming Meshes. Comput. Graph. Forum 27(7): 1895-1900 (2008) - [j2]Klaus Iglberger, Nils Thürey, Ulrich Rüde
Simulation of moving particles in 3D with the Lattice Boltzmann method. Comput. Math. Appl. 55(7): 1461-1468 (2008) - [j1]Theodore Kim, Nils Thürey, Doug L. James
Wavelet turbulence for fluid simulation. ACM Trans. Graph. 27(3): 50 (2008) - [c11]Robert W. Sumner, Nils Thuerey, Markus H. Gross:
The ETH game programming laboratory: a capstone for computer science and visual computing. GDCSE 2008: 46-50 - [c10]Matthias Müller, Jos Stam, Doug L. James
Real time physics: class notes. SIGGRAPH Classes 2008: 88:1-88:90 - 2007
- [b1]Nils Thürey:
Physically based animation of free surface flows with the Lattice Boltzmann method. University of Erlangen-Nuremberg, Germany, Verlag Dr. Hut 2007, ISBN 978-3-89963-519-5, pp. 1-135 - [c9]Nils Thürey, Matthias Müller-Fischer, Simon Schirm, Markus H. Gross
Real-time BreakingWaves for Shallow Water Simulations. PG 2007: 39-46 - [c8]Nils Thürey, Filip Sadlo, Simon Schirm, Matthias Müller-Fischer, Markus H. Gross:
Real-time simulations of bubbles and foam within a shallow water framework. Symposium on Computer Animation 2007: 191-198 - [c7]Nils Thuerey:
Magic Fluid Control. SIGGRAPH Computer Animation Festival 2007: 93 - 2006
- [c6]Nils Thürey, Richard Keiser, Mark Pauly, Ulrich Rüde:
Detail-preserving fluid control. Symposium on Computer Animation 2006: 7-12 - [c5]Nils Thürey, Ulrich Rüde, Marc Stamminger:
Animation of open water phenomena with coupled shallow water and free surface simulations. Symposium on Computer Animation 2006: 157-164 - 2005
- [c4]Nils Thürey, Ulrich Rüde:
Optimized free surface fluids on adaptive grids with the lattice Boltzmann method. SIGGRAPH Posters 2005: 112 - 2004
- [c3]Thomas Pohl, Frank Deserno, Nils Thürey, Ulrich Rüde
Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures. SC 2004: 21 - [c2]Nils Thürey, Ulrich Rüde:
Free Surface Lattice-Boltzmann fluid simulations with and without level sets. VMV 2004: 199-207 - 2002
- [c1]Markus Kowarschik, Ulrich Rüde, Nils Thürey, Christian Weiß:
Performance Optimization of 3D Multigrid on Hierarchical Memory Architectures. PARA 2002: 307-318
Coauthor Index
Markus Gross 0001
aka: Markus H. Gross
aka: Markus H. Gross
Christopher Wojtan
aka: Chris Wojtan
aka: Chris Wojtan
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