Nils Thuerey

papers

952

total citations

papers (18)

Neural Scene Graphs for Dynamic Scenes

CVPR 2021arXiv

367

citations

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

NEURIPS 2020arXiv

319

citations

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

CVPR 2021arXiv

117

citations

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes

CVPR 2025arXiv

citations

PRDP: Progressively Refined Differentiable Physics

ICLR 2025arXiv

citations

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

NEURIPS 2022

citations

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax

ICML 2024

citations

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

CVPR 2020

citations

Nils Thuerey

papers (18)

Neural Scene Graphs for Dynamic Scenes

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

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

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics

Global Transport for Fluid Reconstruction With Learned Self-Supervision

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

Solving Inverse Physics Problems with Score Matching

Scale-invariant Learning by Physics Inversion

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

TemporalUV: Capturing Loose Clothing With Temporally Coherent UV Coordinates

Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula

Stabilizing Backpropagation Through Time to Learn Complex Physics

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes

PRDP: Progressively Refined Differentiable Physics

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

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

papers (18)

Neural Scene Graphs for Dynamic Scenes

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

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

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics

Global Transport for Fluid Reconstruction With Learned Self-Supervision

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

Solving Inverse Physics Problems with Score Matching

Scale-invariant Learning by Physics Inversion

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

TemporalUV: Capturing Loose Clothing With Temporally Coherent UV Coordinates

Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula

Stabilizing Backpropagation Through Time to Learn Complex Physics

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes

PRDP: Progressively Refined Differentiable Physics

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

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax

Correspondence-Free Material Reconstruction using Sparse Surface Constraints