Nils Thürey

J. Open Source Softw., April, 2024

APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs.

[BibT_eX]

[DOI]

CoRR, 2024

Flow Matching for Posterior Inference with Simulator Feedback.

[BibT_eX]

[DOI]

Benjamin J. Holzschuh

CoRR, 2024

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks.

[BibT_eX]

[DOI]

Qiang Liu

Mengyu Chu

CoRR, 2024

The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Physics-embedded Fourier Neural Network for Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

How Temporal Unrolling Supports Neural Physics Simulators.

[BibT_eX]

[DOI]

CoRR, 2024

ΦFlow: Differentiable Simulations for PyTorch, TensorFlow and Jax.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics.

[BibT_eX]

[DOI]

Rene Winchenbach

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Stabilizing Backpropagation Through Time to Learn Complex Physics.

[BibT_eX]

[DOI]

Patrick Schnell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reviving autoencoder pretraining.

[BibT_eX]

[DOI]

You Xie

Neural Comput. Appl., February, 2023

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

[BibT_eX]

[DOI]

Qiang Liu

CoRR, 2023

Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence.

[BibT_eX]

[DOI]

Robin Greif

Frank Jenko

CoRR, 2023

Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models.

[BibT_eX]

[DOI]

Georg Kohl

CoRR, 2023

Score Matching via Differentiable Physics.

[BibT_eX]

[DOI]

Benjamin J. Holzschuh

Simona Vegetti

CoRR, 2023

Exploring Physical Latent Spaces for High-Resolution Flow Restoration.

[BibT_eX]

[DOI]

Chloé Paliard

Proceedings of the VMV 2023, 2023

Solving Inverse Physics Problems with Score Matching.

[BibT_eX]

[DOI]

Benjamin J. Holzschuh

Simona Vegetti

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.

[BibT_eX]

[DOI]

Erik Franz

Barbara Solenthaler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs.

[BibT_eX]

[DOI]

Georg Kohl

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Exploring Physical Latent Spaces for Deep Learning.

[BibT_eX]

[DOI]

Chloé Paliard

CoRR, 2022

Wavelet-based Loss for High-frequency Interface Dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Brener Ramos

Felix Trost

CoRR, 2022

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Sagar Garg

Stephan Rasp

CoRR, 2022

Simulating Liquids with Graph Networks.

[BibT_eX]

[DOI]

Jonathan Klimesch

CoRR, 2022

Learned Turbulence Modelling with Differentiable Fluid Solvers.

[BibT_eX]

[DOI]

Björn List

CoRR, 2022

Visualizing Optimizers using Chebyshev Proxies and Fatou Sets.

[BibT_eX]

[DOI]

Rene Winchenbach

Proceedings of the VMV 2022, 2022

ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vladlen Koltun

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Half-Inverse Gradients for Physical Deep Learning.

[BibT_eX]

[DOI]

Patrick Schnell

Proceedings of the Tenth International Conference on Learning Representations, 2022

TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

Implicit Density Projection for Volume Conserving Liquids.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

Learning meaningful controls for fluids.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System.

[BibT_eX]

[DOI]

ACM Trans. Appl. Percept., 2021

Physical Gradients for Deep Learning.

[BibT_eX]

[DOI]

Vladlen Koltun

CoRR, 2021

Physics-based Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Scene Graphs for Dynamic Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Global Transport for Fluid Reconstruction With Learned Self-Supervision.

[BibT_eX]

[DOI]

Erik Franz

Barbara Solenthaler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Simulating Liquids on Dynamically Warping Grids.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

Learning temporal coherence via self-supervision for GAN-based video generation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

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

[BibT_eX]

[DOI]

You Xie

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Georg Kohl

Proceedings of the 37th International Conference on Machine Learning, 2020

Lagrangian Fluid Simulation with Continuous Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Control PDEs with Differentiable Physics.

[BibT_eX]

[DOI]

Vladlen Koltun

Proceedings of the 8th International Conference on Learning Representations, 2020

Correspondence-Free Material Reconstruction using Sparse Surface Constraints.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Marie-Lena Eckert

ACM Trans. Graph., 2019

A Multi-Pass GAN for Fluid Flow Super-Resolution.

[BibT_eX]

[DOI]

Proc. ACM Comput. Graph. Interact. Tech., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow.

[BibT_eX]

[DOI]

Steffen Wiewel

Moritz Becher

Comput. Graph. Forum, 2019

Deep Fluids: A Generative Network for Parameterized Fluid Simulations.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2019

CreativeAI: deep learning for graphics.

[BibT_eX]

[DOI]

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Generating Liquid Simulations with Deformation-aware Neural Networks.

[BibT_eX]

[DOI]

Lukas Prantl

Boris Bonev

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Liquid Splash Modeling with Neural Networks.

[BibT_eX]

[DOI]

Xiangyu Hu

Comput. Graph. Forum, 2018

Extended Narrow Band FLIP for Liquid Simulations.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Coupled Fluid Density and Motion from Single Views.

[BibT_eX]

[DOI]

Marie-Lena Eckert

Wolfgang Heidrich

Comput. Graph. Forum, 2018

2017

Perceptual evaluation of liquid simulation methods.

[BibT_eX]

[DOI]

Xiangyu Hu

ACM Trans. Graph., 2017

Interpolations of Smoke and Liquid Simulations.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Robust eXtended finite elements for complex cutting of deformables.

[BibT_eX]

[DOI]

Dan Koschier

Jan Bender

ACM Trans. Graph., 2017

Data-driven synthesis of smoke flows with CNN-based feature descriptors.

[BibT_eX]

[DOI]

Mengyu Chu

ACM Trans. Graph., 2017

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

[BibT_eX]

[DOI]

Boris Bonev

Lukas Prantl

CoRR, 2017

Primal-Dual Optimization for Fluids.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Hierarchical vorticity skeletons.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

2016

SMASH: physics-guided reconstruction of collisions from videos.

[BibT_eX]

[DOI]

Áron Monszpart

Niloy J. Mitra

ACM Trans. Graph., 2016

Example-based plastic deformation of rigid bodies.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

Dispersion kernels for water wave simulation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

SMASH: Data-driven Reconstruction of Physically Valid Collisions.

[BibT_eX]

[DOI]

Áron Monszpart

Niloy J. Mitra

CoRR, 2016

Narrow Band FLIP for Liquid Simulations.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2016

2015

Surface turbulence for particle-based liquid simulations.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

A stream function solver for liquid simulations.

[BibT_eX]

[DOI]

Chris Wojtan

ACM Trans. Graph., 2015

A Dimension-reduced Pressure Solver for Liquid Simulations.

[BibT_eX]

[DOI]

Chris Wojtan

Comput. Graph. Forum, 2015

2014

Blending liquids.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2014

From capture to simulation: connecting forward and inverse problems in fluids.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2014

Turbulent Fluids.

[BibT_eX]

[DOI]

Tobias Pfaff

Theodore Kim

Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

2013

Closest point turbulence for liquid surfaces.

[BibT_eX]

[DOI]

Theodore Kim

Jerry Tessendorf

ACM Trans. Graph., 2013

Highly adaptive liquid simulations on tetrahedral meshes.

[BibT_eX]

[DOI]

Chris Wojtan

ACM Trans. Graph., 2013

2012

Preserving Fluid Sheets with Adaptively Sampled Anisotropic Particles.

[BibT_eX]

[DOI]

Reiji Tsuruno

IEEE Trans. Vis. Comput. Graph., 2012

Lagrangian vortex sheets for animating fluids.

[BibT_eX]

[DOI]

Tobias Pfaff

ACM Trans. Graph., 2012

Controlling Liquids Using Meshes.

[BibT_eX]

[DOI]

Proceedings of the 2012 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2012

2010

Physics-inspired topology changes for thin fluid features.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2010

A multiscale approach to mesh-based surface tension flows.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2010

Scalable fluid simulation using anisotropic turbulence particles.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2010

Visibility Transition Planning for Dynamic Camera Control.

[BibT_eX]

[DOI]

Proceedings of the Motion in Games - Third International Conference, 2010

2009

Deforming meshes that split and merge.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2009

Synthetic turbulence using artificial boundary layers.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2009

Detail-preserving fluid control.

[BibT_eX]

[DOI]

Graph. Model., 2009

2008

Wavelet turbulence for fluid simulation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2008

Simulation of moving particles in 3D with the Lattice Boltzmann method.

[BibT_eX]

[DOI]

Klaus Iglberger

Comput. Math. Appl., 2008

Robust and Efficient Wave Simulations on Deforming Meshes.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2008

Real time physics: class notes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Robert W. Sumner

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.

[BibT_eX]

[DOI]

PhD thesis, 2007

Magic Fluid Control.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007

Real-time simulations of bubbles and foam within a shallow water framework.

[BibT_eX]

[DOI]

Filip Sadlo

Simon Schirm

Matthias Müller-Fischer

Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2007

Real-time BreakingWaves for Shallow Water Simulations.

[BibT_eX]

[DOI]

Matthias Müller-Fischer

Simon Schirm

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.

[BibT_eX]

[DOI]

Marc Stamminger

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005

2004

Free Surface Lattice-Boltzmann fluid simulations with and without level sets.

[BibT_eX]