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ORCIDNils 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, Li-Wei Chen, Nils Thuerey:
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, Li-Wei Chen, Nils Thuerey:
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, Li-Wei Chen, Nils Thuerey:
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, Stephan Rasp, Nils Thuerey:
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, Xiangyu Hu, Bing Wang, Nils Thuerey:
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, Nils Thuerey, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer:
Learning meaningful controls for fluids. ACM Trans. Graph. 40(4): 100:1-100:13 (2021) - [j41]Tassilo Kugelstadt, Andreas Longva, Nils Thuerey, Jan Bender:
Implicit Density Projection for Volume Conserving Liquids. IEEE Trans. Vis. Comput. Graph. 27(4): 2385-2395 (2021) - [j40]Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann:
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, Nils Thuerey, Miguel A. Otaduy, Dan Casas:
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CVPR 2021: 11763-11773 - [c26]Suprosanna Shit, Dhritiman Das, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Nils Thuerey, Bjoern H. Menze:
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, Nils Thuerey:
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, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey:
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. Comput. Graph. Forum 39(8): 15-25 (2020) - [j38]Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey:
Learning temporal coherence via self-supervision for GAN-based video generation. ACM Trans. Graph. 39(4): 75 (2020) - [j37]Hikaru Ibayashi, Chris Wojtan, Nils Thuerey, Takeo Igarashi, Ryoichi Ando:
Simulating Liquids on Dynamically Warping Grids. IEEE Trans. Vis. Comput. Graph. 26(6): 2288-2302 (2020) - [c25]Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey:
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, Kiwon Um, Nils Thuerey:
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, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler:
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, Nils Thuerey:
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, Nils Thuerey:
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, Nils Thürey, Takeo Igarashi, Ryoichi Ando:
Extended Narrow Band FLIP for Liquid Simulations. Comput. Graph. Forum 37(2): 169-177 (2018) - [j31]Marie-Lena Eckert, Wolfgang Heidrich, Nils Thürey:
Coupled Fluid Density and Motion from Single Views. Comput. Graph. Forum 37(8): 47-58 (2018) - [j30]Kiwon Um, Xiangyu Hu, Nils Thuerey:
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, Nils Thuerey:
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, You Xie, Laura Leal-Taixé, Nils Thuerey:
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, Nils Thuerey:
Data-driven synthesis of smoke flows with CNN-based feature descriptors. ACM Trans. Graph. 36(4): 69:1-69:14 (2017) - [j23]Kiwon Um, Xiangyu Hu, Nils Thuerey:
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, Nils Thuerey:
Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors. CoRR abs/1705.01425 (2017) - 2016
- [j22]Florian Ferstl, Ryoichi Ando, Chris Wojtan, Rüdiger Westermann, Nils Thuerey:
Narrow Band FLIP for Liquid Simulations. Comput. Graph. Forum 35(2): 225-232 (2016) - [j21]Ben Jones, Nils Thuerey, Tamar Shinar, Adam W. Bargteil:
Example-based plastic deformation of rigid bodies. ACM Trans. Graph. 35(4): 34:1-34:11 (2016) - [j20]Áron Monszpart, Nils Thuerey, Niloy J. Mitra:
SMASH: physics-guided reconstruction of collisions from videos. ACM Trans. Graph. 35(6): 199:1-199:14 (2016) - [j19]José A. Canabal, David Miraut, Nils Thuerey, Theodore Kim, Javier Portilla, Miguel A. Otaduy:
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, Nils Thürey, Chris Wojtan:
A Dimension-reduced Pressure Solver for Liquid Simulations. Comput. Graph. Forum 34(2): 473-480 (2015) - [j17]Ryoichi Ando, Nils Thuerey, Chris Wojtan:
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, Nils Thürey, Greg Turk:
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, Nils Thürey, Chris Wojtan:
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]