Nils Thuerey

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 98

Top Venues

Publications

Rene Winchenbach, Nils Thuerey
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. CoRR (2024)
Björn List, Li-Wei Chen, Kartik Bali, Nils Thuerey
How Temporal Unrolling Supports Neural Physics Simulators. CoRR (2024)
Patrick Schnell, Nils Thuerey
Stabilizing Backpropagation Through Time to Learn Complex Physics. ICLR (2024)
Rene Winchenbach, Nils Thuerey
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. ICLR (2024)
Philipp Holl, Nils Thuerey
Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy. J. Open Source Softw. 9 (96) (2024)
Patrick Schnell, Nils Thuerey
Stabilizing Backpropagation Through Time to Learn Complex Physics. CoRR (2024)
Qingsong Xu, Nils Thuerey, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu
Physics-embedded Fourier Neural Network for Partial Differential Equations. CoRR (2024)
Li-Wei Chen, Nils Thuerey
Deep learning-based predictive modelling of transonic flow over an aerofoil. CoRR (2024)
Qiang Liu, Nils Thuerey
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models. CoRR (2023)
Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey
Solving Inverse Physics Problems with Score Matching. NeurIPS (2023)
You Xie, Nils Thuerey
Reviving autoencoder pretraining. Neural Comput. Appl. 35 (6) (2023)
Robin Greif, Frank Jenko, Nils Thuerey
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence. CoRR (2023)
Erik Franz, Barbara Solenthaler, Nils Thuerey
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. ICLR (2023)
Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey
Score Matching via Differentiable Physics. CoRR (2023)
Erik Franz, Barbara Solenthaler, Nils Thuerey
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. CoRR (2023)
Georg Kohl, Li-Wei Chen, Nils Thuerey
Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models. CoRR (2023)
Chloé Paliard, Nils Thuerey, Kiwon Um
Exploring Physical Latent Spaces for High-Resolution Flow Restoration. VMV (2023)
Georg Kohl, Li-Wei Chen, Nils Thuerey
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. AAAI (2023)
Georg Kohl, Li-Wei Chen, Nils Thuerey
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. CoRR (2022)
Maximilian Müller, Robin Greif, Frank Jenko, Nils Thuerey
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations. CoRR (2022)
Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR (2022)
Patrick Schnell, Philipp Holl, Nils Thuerey
Half-Inverse Gradients for Physical Deep Learning. CoRR (2022)
Jonathan Klimesch, Philipp Holl, Nils Thuerey
Simulating Liquids with Graph Networks. CoRR (2022)
You Xie, Huiqi Mao, Angela Yao, Nils Thuerey
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. CVPR (2022)
Igor Santesteban, Miguel A. Otaduy, Nils Thuerey, Dan Casas
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On. NeurIPS (2022)
Chloé Paliard, Nils Thuerey, Kiwon Um
Exploring Physical Latent Spaces for Deep Learning. CoRR (2022)
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)
You Xie, Huiqi Mao, Angela Yao, Nils Thuerey
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. CoRR (2022)
Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS (2022)
Sagar Garg, Stephan Rasp, Nils Thuerey
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. CoRR (2022)
Brener Ramos, Felix Trost, Nils Thuerey
Control of Two-way Coupled Fluid Systems with Differentiable Solvers. CoRR (2022)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Scale-invariant Learning by Physics Inversion. NeurIPS (2022)
Rene Winchenbach, Nils Thuerey
Visualizing Optimizers using Chebyshev Proxies and Fatou Sets. VMV (2022)
Patrick Schnell, Philipp Holl, Nils Thuerey
Half-Inverse Gradients for Physical Deep Learning. ICLR (2022)
Lukas Prantl, Jan Bender, Tassilo Kugelstadt, Nils Thuerey
Wavelet-based Loss for High-frequency Interface Dynamics. CoRR (2022)
Erik Franz, Barbara Solenthaler, Nils Thuerey
Global Transport for Fluid Reconstruction with Learned Self-Supervision. CoRR (2021)
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) (2021)
Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CVPR (2021)
Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um
Physics-based Deep Learning. CoRR (2021)
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide
Neural Scene Graphs for Dynamic Scenes. CVPR (2021)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Physical Gradients for Deep Learning. CoRR (2021)
Erik Franz, Barbara Solenthaler, Nils Thuerey
Global Transport for Fluid Reconstruction With Learned Self-Supervision. CVPR (2021)
Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CoRR (2021)
Li-Wei Chen, Nils Thuerey
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils. CoRR (2021)
Mengyu Chu, Nils Thuerey, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer
Learning meaningful controls for fluids. ACM Trans. Graph. 40 (4) (2021)
Suprosanna Shit, Dhritiman Das, Ivan Ezhov, Johannes C. Paetzold, Augusto F. Sanches, Nils Thuerey, Bjoern H. Menze
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. IPMI (2021)
Tassilo Kugelstadt, Andreas Longva, Nils Thuerey, Jan Bender
Implicit Density Projection for Volume Conserving Liquids. IEEE Trans. Vis. Comput. Graph. 27 (4) (2021)
Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun
Lagrangian Fluid Simulation with Continuous Convolutions. ICLR (2020)
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) (2020)
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)
Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. CoRR (2020)
You Xie, Nils Thuerey
Data-driven Regularization via Racecar Training for Generalizing Neural Networks. CoRR (2020)
Philipp Holl, Nils Thuerey, Vladlen Koltun
Learning to Control PDEs with Differentiable Physics. ICLR (2020)
Georg Kohl, Kiwon Um, Nils Thuerey
Learning Similarity Metrics for Numerical Simulations. ICML (2020)
Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. ICLR (2020)
Georg Kohl, Kiwon Um, Nils Thuerey
Learning Similarity Metrics for Numerical Simulations. CoRR (2020)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Learning to Control PDEs with Differentiable Physics. CoRR (2020)
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide
Neural Scene Graphs for Dynamic Scenes. CoRR (2020)
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 (2020)
Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey
Correspondence-Free Material Reconstruction using Sparse Surface Constraints. CVPR (2020)
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) (2020)
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 (2020)
Hikaru Ibayashi, Chris Wojtan, Nils Thuerey, Takeo Igarashi, Ryoichi Ando
Simulating Liquids on Dynamically Warping Grids. IEEE Trans. Vis. Comput. Graph. 26 (6) (2020)
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 (2020)
Kiwon Um, Xiangyu Hu, Nils Thuerey
Perceptual Evaluation of Liquid Simulation Methods. CoRR (2020)
Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas
CreativeAI: deep learning for graphics. SIGGRAPH Courses (2019)
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) (2019)
Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey
A Multi-Pass GAN for Fluid Flow Super-Resolution. CoRR (2019)
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) (2019)
Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. CoRR (2019)
Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. CoRR (2019)
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 (2019)
Lukas Prantl, Boris Bonev, Nils Thuerey
Generating Liquid Simulations with Deformation-aware Neural Networks. ICLR (Poster) (2019)
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) (2019)
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) (2018)
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 (2018)
Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler
Deep Fluids: A Generative Network for Parameterized Fluid Simulations. CoRR (2018)
Mengyu Chu, You Xie, Laura Leal-Taixé, Nils Thuerey
Temporally Coherent GANs for Video Super-Resolution (TecoGAN). CoRR (2018)
Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey
Coupled Fluid Density and Motion from Single Views. CoRR (2018)
You Xie, Erik Franz, Mengyu Chu, Nils Thuerey
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow. CoRR (2018)
Kiwon Um, Xiangyu Hu, Nils Thuerey
Liquid Splash Modeling with Neural Networks. Comput. Graph. Forum 37 (8) (2018)
You Xie, Erik Franz, Mengyu Chu, Nils Thuerey
tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow. ACM Trans. Graph. 37 (4) (2018)
Steffen Wiewel, Moritz Becher, Nils Thuerey
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow. CoRR (2018)
Mengyu Chu, Nils Thuerey
Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors. CoRR (2017)
Sebastian Eberhardt, Steffen Weißmann, Ulrich Pinkall, Nils Thuerey
Hierarchical vorticity skeletons. Symposium on Computer Animation (2017)
Boris Bonev, Lukas Prantl, Nils Thuerey
Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. CoRR (2017)
Kiwon Um, Xiangyu Hu, Nils Thuerey
Perceptual evaluation of liquid simulation methods. ACM Trans. Graph. 36 (4) (2017)
Nils Thuerey
Interpolations of Smoke and Liquid Simulations. ACM Trans. Graph. 36 (1) (2017)
Mengyu Chu, Nils Thuerey
Data-driven synthesis of smoke flows with CNN-based feature descriptors. ACM Trans. Graph. 36 (4) (2017)
Kiwon Um, Xiangyu Hu, Nils Thuerey
Liquid Splash Modeling with Neural Networks. CoRR (2017)
Dan Koschier, Jan Bender, Nils Thuerey
Robust eXtended finite elements for complex cutting of deformables. ACM Trans. Graph. 36 (4) (2017)
Ben Jones, Nils Thuerey, Tamar Shinar, Adam W. Bargteil
Example-based plastic deformation of rigid bodies. ACM Trans. Graph. 35 (4) (2016)
Nils Thuerey
Interpolations of Smoke and Liquid Simulations. CoRR (2016)
Aron Monszpart, Nils Thuerey, Niloy J. Mitra
SMASH: physics-guided reconstruction of collisions from videos. ACM Trans. Graph. 35 (6) (2016)
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) (2016)
Florian Ferstl, Ryoichi Ando, Chris Wojtan, Rüdiger Westermann, Nils Thuerey
Narrow Band FLIP for Liquid Simulations. Comput. Graph. Forum 35 (2) (2016)
Aron Monszpart, Nils Thuerey, Niloy J. Mitra
SMASH: Data-driven Reconstruction of Physically Valid Collisions. CoRR (2016)
Ryoichi Ando, Nils Thuerey, Chris Wojtan
A stream function solver for liquid simulations. ACM Trans. Graph. 34 (4) (2015)
Olivier Mercier, Cynthia Beauchemin, Nils Thuerey, Theodore Kim, Derek Nowrouzezahrai
Surface turbulence for particle-based liquid simulations. ACM Trans. Graph. 34 (6) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nils Thuerey