Nils Thürey

Orcid: 0000-0001-6647-8910

Affiliations:
  • TU Munich, Faculty of Computer Science
  • Scanline VFX, Munich
  • ETH Zurich, Computer Graphics Laboratory


According to our database1, Nils Thürey authored at least 106 papers between 2002 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Deep learning-based predictive modelling of transonic flow over an aerofoil.
CoRR, 2024

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics.
CoRR, 2024

How Temporal Unrolling Supports Neural Physics Simulators.
CoRR, 2024

2023
Reviving autoencoder pretraining.
Neural Comput. Appl., February, 2023

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models.
CoRR, 2023

Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence.
CoRR, 2023

Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models.
CoRR, 2023

Score Matching via Differentiable Physics.
CoRR, 2023

Exploring Physical Latent Spaces for High-Resolution Flow Restoration.
Proceedings of the VMV 2023, 2023

Solving Inverse Physics Problems with Score Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Exploring Physical Latent Spaces for Deep Learning.
CoRR, 2022

Wavelet-based Loss for High-frequency Interface Dynamics.
CoRR, 2022

Control of Two-way Coupled Fluid Systems with Differentiable Solvers.
CoRR, 2022

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations.
CoRR, 2022

WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models.
CoRR, 2022

Simulating Liquids with Graph Networks.
CoRR, 2022

Learned Turbulence Modelling with Differentiable Fluid Solvers.
CoRR, 2022

Visualizing Optimizers using Chebyshev Proxies and Fatou Sets.
Proceedings of the VMV 2022, 2022

ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scale-invariant Learning by Physics Inversion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Half-Inverse Gradients for Physical Deep Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution.
IEEE Trans. Vis. Comput. Graph., 2021

Implicit Density Projection for Volume Conserving Liquids.
IEEE Trans. Vis. Comput. Graph., 2021

Learning meaningful controls for fluids.
ACM Trans. Graph., 2021

Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System.
ACM Trans. Appl. Percept., 2021

Physical Gradients for Deep Learning.
CoRR, 2021

Physics-based Deep Learning.
CoRR, 2021

Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils.
CoRR, 2021

Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.
Proceedings of the Information Processing in Medical Imaging, 2021

Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Scene Graphs for Dynamic Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Global Transport for Fluid Reconstruction With Learned Self-Supervision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Simulating Liquids on Dynamically Warping Grids.
IEEE Trans. Vis. Comput. Graph., 2020

Learning temporal coherence via self-supervision for GAN-based video generation.
ACM Trans. Graph., 2020

Data-driven Regularization via Racecar Training for Generalizing Neural Networks.
CoRR, 2020

A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks.
CoRR, 2020

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow.
Comput. Graph. Forum, 2020

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Similarity Metrics for Numerical Simulations.
Proceedings of the 37th International Conference on Machine Learning, 2020

Lagrangian Fluid Simulation with Continuous Convolutions.
Proceedings of the 8th International Conference on Learning Representations, 2020

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Control PDEs with Differentiable Physics.
Proceedings of the 8th International Conference on Learning Representations, 2020

Correspondence-Free Material Reconstruction using Sparse Surface Constraints.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning.
ACM Trans. Graph., 2019

A Multi-Pass GAN for Fluid Flow Super-Resolution.
Proc. ACM Comput. Graph. Interact. Tech., 2019

Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction.
CoRR, 2019

Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow.
Comput. Graph. Forum, 2019

Deep Fluids: A Generative Network for Parameterized Fluid Simulations.
Comput. Graph. Forum, 2019

CreativeAI: deep learning for graphics.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Generating Liquid Simulations with Deformation-aware Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow.
ACM Trans. Graph., 2018

Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report.
J. Comput. Sci. Technol., 2018

Temporally Coherent GANs for Video Super-Resolution (TecoGAN).
CoRR, 2018

Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations.
CoRR, 2018

Liquid Splash Modeling with Neural Networks.
Comput. Graph. Forum, 2018

Extended Narrow Band FLIP for Liquid Simulations.
Comput. Graph. Forum, 2018

Coupled Fluid Density and Motion from Single Views.
Comput. Graph. Forum, 2018

2017
Perceptual evaluation of liquid simulation methods.
ACM Trans. Graph., 2017

Interpolations of Smoke and Liquid Simulations.
ACM Trans. Graph., 2017

Robust eXtended finite elements for complex cutting of deformables.
ACM Trans. Graph., 2017

Data-driven synthesis of smoke flows with CNN-based feature descriptors.
ACM Trans. Graph., 2017

Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow.
CoRR, 2017

Primal-Dual Optimization for Fluids.
Comput. Graph. Forum, 2017

Hierarchical vorticity skeletons.
Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

2016
SMASH: physics-guided reconstruction of collisions from videos.
ACM Trans. Graph., 2016

Example-based plastic deformation of rigid bodies.
ACM Trans. Graph., 2016

Dispersion kernels for water wave simulation.
ACM Trans. Graph., 2016

SMASH: Data-driven Reconstruction of Physically Valid Collisions.
CoRR, 2016

Narrow Band FLIP for Liquid Simulations.
Comput. Graph. Forum, 2016

2015
Surface turbulence for particle-based liquid simulations.
ACM Trans. Graph., 2015

A stream function solver for liquid simulations.
ACM Trans. Graph., 2015

A Dimension-reduced Pressure Solver for Liquid Simulations.
Comput. Graph. Forum, 2015

2014
Blending liquids.
ACM Trans. Graph., 2014

From capture to simulation: connecting forward and inverse problems in fluids.
ACM Trans. Graph., 2014

2013
Closest point turbulence for liquid surfaces.
ACM Trans. Graph., 2013

Highly adaptive liquid simulations on tetrahedral meshes.
ACM Trans. Graph., 2013

Turbulent fluids.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013

2012
Preserving Fluid Sheets with Adaptively Sampled Anisotropic Particles.
IEEE Trans. Vis. Comput. Graph., 2012

Lagrangian vortex sheets for animating fluids.
ACM Trans. Graph., 2012

Controlling Liquids Using Meshes.
Proceedings of the 2012 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2012

2010
Physics-inspired topology changes for thin fluid features.
ACM Trans. Graph., 2010

A multiscale approach to mesh-based surface tension flows.
ACM Trans. Graph., 2010

Scalable fluid simulation using anisotropic turbulence particles.
ACM Trans. Graph., 2010

Visibility Transition Planning for Dynamic Camera Control.
Proceedings of the Motion in Games - Third International Conference, 2010

2009
Deforming meshes that split and merge.
ACM Trans. Graph., 2009

Synthetic turbulence using artificial boundary layers.
ACM Trans. Graph., 2009

Detail-preserving fluid control.
Graph. Model., 2009

2008
Wavelet turbulence for fluid simulation.
ACM Trans. Graph., 2008

Simulation of moving particles in 3D with the Lattice Boltzmann method.
Comput. Math. Appl., 2008

Robust and Efficient Wave Simulations on Deforming Meshes.
Comput. Graph. Forum, 2008

Real time physics: class notes.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

The ETH game programming laboratory: a capstone for computer science and visual computing.
Proceedings of the 3rd International Conference on Game Development in Computer Science Education, 2008

2007
Physically based animation of free surface flows with the Lattice Boltzmann method.
PhD thesis, 2007

Magic Fluid Control.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007

Real-time simulations of bubbles and foam within a shallow water framework.
Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2007

Real-time BreakingWaves for Shallow Water Simulations.
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007

2006
Animation of open water phenomena with coupled shallow water and free surface simulations.
Proceedings of the 2006 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2006

2005
Optimized free surface fluids on adaptive grids with the lattice Boltzmann method.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005

2004
Free Surface Lattice-Boltzmann fluid simulations with and without level sets.
Proceedings of the 9th International Fall Workshop on Vision, Modeling, and Visualization, 2004

Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures.
Proceedings of the ACM/IEEE SC2004 Conference on High Performance Networking and Computing, 2004

2002
Performance Optimization of 3D Multigrid on Hierarchical Memory Architectures.
Proceedings of the Applied Parallel Computing Advanced Scientific Computing, 2002


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