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1906.01689
Cited By
A Multi-Pass GAN for Fluid Flow Super-Resolution
4 June 2019
Maximilian Werhahn
You Xie
Mengyu Chu
Nils Thuerey
AI4CE
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Papers citing
"A Multi-Pass GAN for Fluid Flow Super-Resolution"
18 / 18 papers shown
When do World Models Successfully Learn Dynamical Systems?
Edmund Ross
Claudia Drygala
Leonhard Schwarz
Samir Kaiser
F. Mare
Tobias Breiten
Hanno Gottschalk
AI4CE
133
0
0
07 Jul 2025
Representing Flow Fields with Divergence-Free Kernels for Reconstruction
Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), 2025
Xingyu Ni
Jingrui Xing
Xingqiao Li
Bin Wang
Baoquan Chen
AI4CE
206
1
0
02 Apr 2025
Comparison of Generative Learning Methods for Turbulence Surrogates
Claudia Drygala
Edmund Ross
F. Mare
Hanno Gottschalk
Francesca di Mare
Hanno Gottschalk
AI4CE
356
5
0
25 Nov 2024
Fluid Simulation on Neural Flow Maps
Yitong Deng
Hong-Xing Yu
Diyang Zhang
Jiajun Wu
Bo Zhu
AI4CE
160
40
0
22 Dec 2023
Efficient Generation of Multimodal Fluid Simulation Data
Daniele Baieri
Donato Crisostomi
Stefano Esposito
Filippo Maggioli
Emanuele Rodolà
DiffM
243
0
0
30 Oct 2023
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
Engineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Jacob Wulff Wold
Florian Stadtmann
Adil Rasheed
Mandar V. Tabib
Omer San
Jan-Tore Horn
248
8
0
18 Sep 2023
Hyena Neural Operator for Partial Differential Equations
APL Machine Learning (AML), 2023
Saurabh Patil
Zijie Li
Amir Barati Farimani
AI4CE
144
4
0
28 Jun 2023
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors
Daniele Baieri
Stefano Esposito
Filippo Maggioli
Emanuele Rodolà
AI4CE
180
6
0
17 Mar 2023
CIMS: Correction-Interpolation Method for Smoke Simulation
Yun-Hwa Lee
Dohae Lee
Young-Jin Oh
In-Kwon Lee
168
0
0
28 Dec 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Chaoli Wang
J. Han
262
51
0
13 Apr 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
APL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
344
7
0
22 Feb 2022
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations
Shen Wang
M. Nikfar
Joshua C. Agar
Yaling Liu
PINN
DiffM
AI4CE
119
4
0
13 Dec 2021
Generative Modeling of Turbulence
The Physics of Fluids (Phys. Fluids), 2021
Claudia Drygala
Benjamin Winhart
F. Mare
Hanno Gottschalk
GAN
AI4CE
177
45
0
05 Dec 2021
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids
Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), 2021
Bruno Roy
Pierre Poulin
Eric Paquette
78
6
0
09 Jun 2021
Learning from Shader Program Traces
Yuting Yang
Connelly Barnes
Adam Finkelstein
137
3
0
08 Feb 2021
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
222
326
0
09 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows
N. Geneva
N. Zabaras
AI4CE
249
48
0
08 Jun 2020
Dynamic Upsampling of Smoke through Dictionary-based Learning
ACM Transactions on Graphics (TOG), 2019
Kai-Yi Bai
Wei Li
M. Desbrun
Xiaopei Liu
AI4CE
160
32
0
21 Oct 2019
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