default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNils Thürey
Nils Thuerey
Person information
- affiliation: TU Munich, Faculty of Computer Science
- affiliation: Scanline VFX, Munich
- affiliation: ETH Zurich, Computer Graphics Laboratory
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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 - [i53]Björn List, Li-Wei Chen, Kartik Bali, Nils Thuerey:
How Temporal Unrolling Supports Neural Physics Simulators. CoRR abs/2402.12971 (2024) - [i52]Rene Winchenbach, Nils Thuerey:
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. CoRR abs/2403.16680 (2024) - [i51]Li-Wei Chen, Nils Thuerey:
Deep learning-based predictive modelling of transonic flow over an aerofoil. CoRR abs/2403.17131 (2024) - [i50]Patrick Schnell, Nils Thuerey:
Stabilizing Backpropagation Through Time to Learn Complex Physics. CoRR abs/2405.02041 (2024) - [i49]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) - [i48]Philipp Holl, Nils Thuerey:
The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks. CoRR abs/2408.08119 (2024) - [i47]Qiang Liu, Mengyu Chu, Nils Thuerey:
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. CoRR abs/2408.11104 (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]Ryoichi Ando, Nils Thürey, Reiji Tsuruno:
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, Markus H. Gross, Greg Turk:
A multiscale approach to mesh-based surface tension flows. ACM Trans. Graph. 29(4): 48:1-48:10 (2010) - [j8]Christopher Wojtan, Nils Thürey, Markus H. Gross, Greg Turk:
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, Ulrich Rüde:
Detail-preserving fluid control. Graph. Model. 71(6): 221-228 (2009) - [j5]Christopher Wojtan, Nils Thürey, Markus H. Gross, Greg Turk:
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, Markus H. Gross:
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, Markus H. Gross:
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, Nils Thürey:
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, Peter Lammers, Gerhard Wellein, Thomas Zeiser:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
