Performance Optimization of 3D Multigrid on Hierarchical Memory Architectures. - Markus Kowarschik; Ulrich Rüde; Nils Thürey; Christian Weiß 001 (PARA, 2002)

Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures. - Thomas Pohl; Frank Deserno; Nils Thürey; Ulrich Rüde; Peter Lammers; Gerhard Wellein; Thomas Zeiser (SC, 2004)

Free Surface Lattice-Boltzmann fluid simulations with and without level sets. - Nils Thürey; Ulrich Rüde (VMV, 2004)

Optimized free surface fluids on adaptive grids with the lattice Boltzmann method. - Nils Thürey; Ulrich Rüde (SIGGRAPH Posters, 2005)

Animation of open water phenomena with coupled shallow water and free surface simulations. - Nils Thürey; Ulrich Rüde; Marc Stamminger (Symposium on Computer Animation, 2006)

Real-time BreakingWaves for Shallow Water Simulations. - Nils Thürey; Matthias Müller-Fischer; Simon Schirm; Markus H. Gross (PG, 2007)

Real-time simulations of bubbles and foam within a shallow water framework. - Nils Thürey; Filip Sadlo; Simon Schirm; Matthias Müller-Fischer; Markus H. Gross (Symposium on Computer Animation, 2007)

Magic Fluid Control. - Nils Thuerey (SIGGRAPH Computer Animation Festival, 2007)

Physically based animation of free surface flows with the Lattice Boltzmann method. - Nils Thürey (Verlag Dr. Hut, 2007)

The ETH game programming laboratory: a capstone for computer science and visual computing. - Robert W. Sumner; Nils Thuerey; Markus H. Gross (GDCSE, 2008)

Real time physics: class notes. - Matthias Müller 001; Jos Stam; Doug L. James; Nils Thürey (SIGGRAPH Classes, 2008)

Robust and Efficient Wave Simulations on Deforming Meshes. - Roland Angst; Nils Thürey; Mario Botsch; Markus H. Gross (Comput. Graph. Forum, 2008)

Simulation of moving particles in 3D with the Lattice Boltzmann method. - Klaus Iglberger; Nils Thürey; Ulrich Rüde (Comput. Math. Appl., 2008)

Wavelet turbulence for fluid simulation. - Theodore Kim; Nils Thürey; Doug L. James; Markus H. Gross (ACM Trans. Graph., 2008)

Detail-preserving fluid control. - Nils Thürey; Richard Keiser; Mark Pauly; Ulrich Rüde (Graph. Model., 2009)

Synthetic turbulence using artificial boundary layers. - Tobias Pfaff; Nils Thürey; Andrew Selle; Markus H. Gross (ACM Trans. Graph., 2009)

Deforming meshes that split and merge. - Christopher Wojtan; Nils Thürey; Markus H. Gross; Greg Turk (ACM Trans. Graph., 2009)

Visibility Transition Planning for Dynamic Camera Control. - Thomas Oskam; Robert W. Sumner; Nils Thürey; Markus H. Gross (MIG, 2010)

Scalable fluid simulation using anisotropic turbulence particles. - Tobias Pfaff; Nils Thürey; Jonathan M. Cohen; Sarah Tariq; Markus H. Gross (ACM Trans. Graph., 2010)

A multiscale approach to mesh-based surface tension flows. - Nils Thürey; Christopher Wojtan; Markus H. Gross; Greg Turk (ACM Trans. Graph., 2010)

Physics-inspired topology changes for thin fluid features. - Christopher Wojtan; Nils Thürey; Markus H. Gross; Greg Turk (ACM Trans. Graph., 2010)

Controlling Liquids Using Meshes. - Karthik Raveendran; Nils Thürey; Chris Wojtan; Greg Turk (Symposium on Computer Animation, 2012)

Lagrangian vortex sheets for animating fluids. - Tobias Pfaff; Nils Thürey; Markus H. Gross (ACM Trans. Graph., 2012)

Preserving Fluid Sheets with Adaptively Sampled Anisotropic Particles. - Ryoichi Ando; Nils Thürey; Reiji Tsuruno (IEEE Trans. Vis. Comput. Graph., 2012)

Highly adaptive liquid simulations on tetrahedral meshes. - Ryoichi Ando; Nils Thürey; Chris Wojtan (ACM Trans. Graph., 2013)

Closest point turbulence for liquid surfaces. - Theodore Kim; Jerry Tessendorf; Nils Thürey (ACM Trans. Graph., 2013)

Turbulent Fluids. - Tobias Pfaff; Theodore Kim; Nils Thürey (Eurographics (Tutorials), 2014)

From capture to simulation: connecting forward and inverse problems in fluids. - James Gregson; Ivo Ihrke; Nils Thürey; Wolfgang Heidrich (ACM Trans. Graph., 2014)

Blending liquids. - Karthik Raveendran; Chris Wojtan; Nils Thürey; Greg Turk (ACM Trans. Graph., 2014)

A Dimension-reduced Pressure Solver for Liquid Simulations. - Ryoichi Ando; Nils Thürey; Chris Wojtan (Comput. Graph. Forum, 2015)

A stream function solver for liquid simulations. - Ryoichi Ando; Nils Thuerey; Chris Wojtan (ACM Trans. Graph., 2015)

Surface turbulence for particle-based liquid simulations. - Olivier Mercier; Cynthia Beauchemin; Nils Thuerey; Theodore Kim; Derek Nowrouzezahrai (ACM Trans. Graph., 2015)

Narrow Band FLIP for Liquid Simulations. - Florian Ferstl; Ryoichi Ando; Chris Wojtan; Rüdiger Westermann; Nils Thuerey (Comput. Graph. Forum, 2016)

SMASH: Data-driven Reconstruction of Physically Valid Collisions. - Áron Monszpart; Nils Thuerey; Niloy J. Mitra (CoRR, 2016)

Dispersion kernels for water wave simulation. - José A. Canabal; David Miraut 001; Nils Thuerey; Theodore Kim; Javier Portilla; Miguel A. Otaduy (ACM Trans. Graph., 2016)

Example-based plastic deformation of rigid bodies. - Ben Jones; Nils Thuerey; Tamar Shinar; Adam W. Bargteil (ACM Trans. Graph., 2016)

SMASH: physics-guided reconstruction of collisions from videos. - Áron Monszpart; Nils Thuerey; Niloy J. Mitra (ACM Trans. Graph., 2016)

Hierarchical vorticity skeletons. - Sebastian Eberhardt; Steffen Weißmann; Ulrich Pinkall; Nils Thuerey (Symposium on Computer Animation, 2017)

Primal-Dual Optimization for Fluids. - Tiffany Inglis; Marie-Lena Eckert; James Gregson; Nils Thürey (Comput. Graph. Forum, 2017)

Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. - Boris Bonev; Lukas Prantl; Nils Thuerey (CoRR, 2017)

Data-driven synthesis of smoke flows with CNN-based feature descriptors. - Mengyu Chu; Nils Thuerey (ACM Trans. Graph., 2017)

Robust eXtended finite elements for complex cutting of deformables. - Dan Koschier; Jan Bender; Nils Thuerey (ACM Trans. Graph., 2017)

Interpolations of Smoke and Liquid Simulations. - Nils Thuerey (ACM Trans. Graph., 2017)

Perceptual evaluation of liquid simulation methods. - Kiwon Um; Xiangyu Hu 002; Nils Thuerey (ACM Trans. Graph., 2017)

Coupled Fluid Density and Motion from Single Views. - Marie-Lena Eckert; Wolfgang Heidrich; Nils Thürey (Comput. Graph. Forum, 2018)

Extended Narrow Band FLIP for Liquid Simulations. - Takahiro Sato; Christopher Wojtan; Nils Thürey; Takeo Igarashi; Ryoichi Ando (Comput. Graph. Forum, 2018)

Liquid Splash Modeling with Neural Networks. - Kiwon Um; Xiangyu Hu 002; Nils Thuerey (Comput. Graph. Forum, 2018)

Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations. - Nils Thuerey; Konstantin Weissenow; Harshit Mehrotra; Nischal Mainali; Lukas Prantl; Xiangyu Hu 002 (CoRR, 2018)

Temporally Coherent GANs for Video Super-Resolution (TecoGAN). - Mengyu Chu; You Xie; Laura Leal-Taixé; Nils Thuerey (CoRR, 2018)

Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report. - Bo Ren 003; Xu-Yun Yang; Ming C. Lin; Nils Thuerey; Matthias Teschner; Chen-Feng Li (J. Comput. Sci. Technol., 2018)

tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow. - You Xie; Aleksandra Franz; Mengyu Chu; Nils Thuerey (ACM Trans. Graph., 2018)

Generating Liquid Simulations with Deformation-aware Neural Networks. - Lukas Prantl; Boris Bonev; Nils Thuerey (ICLR (Poster), 2019)

CreativeAI: deep learning for graphics. - Niloy J. Mitra; Iasonas Kokkinos; Paul Guerrero 001; Nils Thuerey; Vladimir G. Kim; Leonidas J. Guibas (SIGGRAPH Courses, 2019)

Deep Fluids: A Generative Network for Parameterized Fluid Simulations. - Byungsoo Kim 001; Vinicius C. Azevedo; Nils Thuerey; Theodore Kim; Markus H. Gross; Barbara Solenthaler (Comput. Graph. Forum, 2019)

Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow. - Steffen Wiewel; Moritz Becher; Nils Thürey (Comput. Graph. Forum, 2019)

Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. - Sebastian Weiss; Robert Maier 001; Rüdiger Westermann; Daniel Cremers; Nils Thuerey (CoRR, 2019)

A Multi-Pass GAN for Fluid Flow Super-Resolution. - Maximilian Werhahn; You Xie; Mengyu Chu; Nils Thuerey (Proc. ACM Comput. Graph. Interact. Tech., 2019)

ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning. - Marie-Lena Eckert; Kiwon Um; Nils Thuerey (ACM Trans. Graph., 2019)

Correspondence-Free Material Reconstruction using Sparse Surface Constraints. - Sebastian Weiss; Robert Maier 001; Daniel Cremers; Rüdiger Westermann; Nils Thuerey (CVPR, 2020)

Learning to Control PDEs with Differentiable Physics. - Philipp Holl; Nils Thuerey; Vladlen Koltun (ICLR, 2020)

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. - Lukas Prantl; Nuttapong Chentanez; Stefan Jeschke; Nils Thuerey (ICLR, 2020)

Lagrangian Fluid Simulation with Continuous Convolutions. - Benjamin Ummenhofer; Lukas Prantl; Nils Thuerey; Vladlen Koltun (ICLR, 2020)

Learning Similarity Metrics for Numerical Simulations. - Georg Kohl; Kiwon Um; Nils Thuerey (ICML, 2020)

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. - Kiwon Um; Robert Brand; Yun (Raymond) Fei; Philipp Holl; Nils Thuerey (NeurIPS, 2020)

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. - Steffen Wiewel; Byungsoo Kim 001; Vinicius C. Azevedo; Barbara Solenthaler; Nils Thuerey (Comput. Graph. Forum, 2020)

A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks. - Hao Ma; Xiangyu Hu 002; Yuxuan Zhang; Nils Thuerey; Oskar J. Haidn (CoRR, 2020)

Data-driven Regularization via Racecar Training for Generalizing Neural Networks. - You Xie; Nils Thuerey (CoRR, 2020)

Learning temporal coherence via self-supervision for GAN-based video generation. - Mengyu Chu; You Xie; Jonas Mayer; Laura Leal-Taixé; Nils Thuerey (ACM Trans. Graph., 2020)

Simulating Liquids on Dynamically Warping Grids. - Hikaru Ibayashi; Chris Wojtan; Nils Thuerey; Takeo Igarashi; Ryoichi Ando (IEEE Trans. Vis. Comput. Graph., 2020)

Global Transport for Fluid Reconstruction With Learned Self-Supervision. - Aleksandra Franz; Barbara Solenthaler; Nils Thuerey (CVPR, 2021)

Neural Scene Graphs for Dynamic Scenes. - Julian Ost; Fahim Mannan; Nils Thuerey; Julian Knodt; Felix Heide (CVPR, 2021)

Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. - Igor Santesteban; Nils Thuerey; Miguel A. Otaduy; Dan Casas (CVPR, 2021)

Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. - Suprosanna Shit; Dhritiman Das; Ivan Ezhov; Johannes C. Paetzold; Augusto Fava-Sanches; Nils Thuerey; Bjoern H. Menze (IPMI, 2021)

Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils. - Li-Wei Chen; Nils Thuerey (CoRR, 2021)

Physics-based Deep Learning. - Nils Thuerey; Philipp Holl; Maximilian Müller; Patrick Schnell; Felix Trost; Kiwon Um (CoRR, 2021)

Physical Gradients for Deep Learning. - Philipp Holl; Vladlen Koltun; Nils Thuerey (CoRR, 2021)

Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System. - Kiwon Um; Xiangyu Hu 002; Bing Wang; Nils Thuerey (ACM Trans. Appl. Percept., 2021)

Learning meaningful controls for fluids. - Mengyu Chu; Nils Thuerey; Hans-Peter Seidel; Christian Theobalt; Rhaleb Zayer (ACM Trans. Graph., 2021)

Implicit Density Projection for Volume Conserving Liquids. - Tassilo Kugelstadt; Andreas Longva; Nils Thuerey; Jan Bender (IEEE Trans. Vis. Comput. Graph., 2021)

Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. - Sebastian Weiss; Mengyu Chu; Nils Thuerey; Rüdiger Westermann (IEEE Trans. Vis. Comput. Graph., 2021)

TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. - You Xie; Huiqi Mao; Angela Yao; Nils Thuerey (CVPR, 2022)

Half-Inverse Gradients for Physical Deep Learning. - Patrick Schnell; Philipp Holl; Nils Thuerey (ICLR, 2022)

A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. - Dominik Winkelbauer; Berthold Bäuml; Matthias Humt; Nils Thuerey; Rudolph Triebel (IROS, 2022)

Scale-invariant Learning by Physics Inversion. - Philipp Holl; Vladlen Koltun; Nils Thuerey (NeurIPS, 2022)

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. - Lukas Prantl; Benjamin Ummenhofer; Vladlen Koltun; Nils Thuerey (NeurIPS, 2022)

ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On. - Igor Santesteban; Miguel A. Otaduy; Nils Thuerey; Dan Casas (NeurIPS, 2022)

Visualizing Optimizers using Chebyshev Proxies and Fatou Sets. - Rene Winchenbach; Nils Thuerey (VMV, 2022)

Learned Turbulence Modelling with Differentiable Fluid Solvers. - Björn List; Li-Wei Chen; Nils Thürey (CoRR, 2022)

Simulating Liquids with Graph Networks. - Jonathan Klimesch; Philipp Holl; Nils Thuerey (CoRR, 2022)

WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. - Sagar Garg; Stephan Rasp 001; Nils Thuerey (CoRR, 2022)

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations. - Maximilian Müller; Robin Greif; Frank Jenko; Nils Thuerey (CoRR, 2022)

Control of Two-way Coupled Fluid Systems with Differentiable Solvers. - Brener Ramos; Felix Trost; Nils Thuerey (CoRR, 2022)

Wavelet-based Loss for High-frequency Interface Dynamics. - Lukas Prantl; Jan Bender; Tassilo Kugelstadt; Nils Thuerey (CoRR, 2022)

Exploring Physical Latent Spaces for Deep Learning. - Chloé Paliard; Nils Thuerey; Kiwon Um (CoRR, 2022)

Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. - Georg Kohl; Li-Wei Chen; Nils Thuerey (AAAI, 2023)

Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. - Aleksandra Franz; Barbara Solenthaler; Nils Thuerey (ICLR, 2023)

Solving Inverse Physics Problems with Score Matching. - Benjamin J. Holzschuh; Simona Vegetti; Nils Thuerey (NeurIPS, 2023)

Exploring Physical Latent Spaces for High-Resolution Flow Restoration. - Chloé Paliard; Nils Thuerey; Kiwon Um (VMV, 2023)

Score Matching via Differentiable Physics. - Benjamin J. Holzschuh; Simona Vegetti; Nils Thuerey (CoRR, 2023)

Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models. - Georg Kohl; Li-Wei Chen; Nils Thuerey (CoRR, 2023)

Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence. - Robin Greif; Frank Jenko; Nils Thuerey (CoRR, 2023)

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models. - Qiang Liu 038; Nils Thuerey (CoRR, 2023)

Reviving autoencoder pretraining. - You Xie; Nils Thuerey (Neural Comput. Appl., 2023)

Stabilizing Backpropagation Through Time to Learn Complex Physics. - Patrick Schnell; Nils Thuerey (ICLR, 2024)

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. - Rene Winchenbach; Nils Thuerey (ICLR, 2024)

ΦFlow: Differentiable Simulations for PyTorch, TensorFlow and Jax. - Philipp Holl; Nils Thuerey (ICML, 2024)

APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. - Felix Koehler; Simon Niedermayr; Rüdiger Westermann; Nils Thuerey (NeurIPS, 2024)

How Temporal Unrolling Supports Neural Physics Simulators. - Björn List; Li-Wei Chen; Kartik Bali; Nils Thuerey (CoRR, 2024)

Deep learning-based predictive modelling of transonic flow over an aerofoil. - Li-Wei Chen; Nils Thuerey (CoRR, 2024)

Physics-embedded Fourier Neural Network for Partial Differential Equations. - Qingsong Xu; Nils Thuerey; Yilei Shi; Jonathan Bamber; Chaojun Ouyang; Xiao Xiang Zhu 001 (CoRR, 2024)

The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks. - Philipp Holl; Nils Thuerey (CoRR, 2024)

Flow Matching for Posterior Inference with Simulator Feedback. - Benjamin J. Holzschuh; Nils Thuerey (CoRR, 2024)

Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy. - Philipp Holl; Nils Thuerey (J. Open Source Softw., 2024)

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes. - Ludwic Leonard; Nils Thürey; Rüdiger Westermann (CVPR, 2025)

PRDP: Progressively Refined Differentiable Physics. - Kanishk Bhatia; Felix Koehler; Nils Thuerey (ICLR, 2025)

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. - Qiang Liu 038; Mengyu Chu; Nils Thuerey (ICLR, 2025)

Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster. - Patrick Schnell; Luca Guastoni; Nils Thuerey (ICLR, 2025)

Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula. - Youssef Shehata; Benjamin J. Holzschuh; Nils Thuerey (ICLR, 2025)

Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks. - Mario Lino Valencia; Tobias Pfaff; Nils Thuerey (ICLR, 2025)

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes. - Ludwic Leonard Méndez; Nils Thuerey; Rüdiger Westermann (CoRR, 2025)

Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems. - Girnar Goyal; Philipp Holl; Sweta Agrawal; Nils Thuerey (CoRR, 2025)

PICT - A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics. - Aleksandra Franz; Hao Wei; Luca Guastoni; Nils Thuerey (CoRR, 2025)

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations. - Benjamin J. Holzschuh; Qiang Liu 038; Georg Kohl; Nils Thuerey (CoRR, 2025)

Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation. - Giacomo Baldan; Qiang Liu; Alberto Guardone; Nils Thuerey (CoRR, 2025)

Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction. - Shaofan Wang; Nils Thuerey; Philipp Geyer (CoRR, 2025)

diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning. - Rene Winchenbach; Nils Thuerey (CoRR, 2025)

Adaptive Phase-Field-FLIP for Very Large Scale Two-Phase Fluid Simulation. - Bernhard Braun; Jan Bender; Nils Thuerey (ACM Trans. Graph., 2025)