Papers matching “super-resolution network” 31
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Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation2024 Computers & Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, P. Petkov, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +2 more
11citations -
Parallel Implementation and Performance of Super-Resolution Generative Adversarial Network Turbulence Models for Large-Eddy Simulation2024 SSRN Electronic Journal preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Peicho Petkov, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +2 more
1citations -
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations2024 Future Generation Computer Systems article Computer Science Advanced Image Processing Techniques Open access
Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Égelé, Elisabeth A. G. Pfaehler, Rushikesh Shende, +4 more
8citations -
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations -
Deep learning-based single image super-resolution for low-field MR brain images2022 Scientific Reports article Computer Science Advanced Image Processing Techniques Open access cited by 4 patents
M. L. de Leeuw den Bouter, Giuseppe Ippolito, Thomas O’Reilly, Rob Remis, Martin B. van Gijzen, ANDREW G. WEBB
95citations -
Influence of adversarial training on super-resolution turbulence reconstruction2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Mathis Bode, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +1 more
0citations -
Influence of adversarial training on super-resolution turbulence reconstruction2024 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Heinz G. Pitsch, Christoph Schumann, Mathis Bode, Temistocle Grenga, Jonathan F. MacArt, +1 more
26citations -
How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?2026 International Conference on Quality of Multimedia Experience (QoMEX) conference-paper Computer Science Image and Video Quality Assessment Open access
Benjamin Herb, Steve Göring, Alexander Raake, Rakesh Rao Ramachandra Rao
0citations -
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, +2 more
150citations -
Super-Resolution Imaging of the A- and B-Type Lamin Networks: A Comparative Study of Different Fluorescence Labeling Procedures2021 International Journal of Molecular Sciences article Biochemistry, Genetics and Molecular Biology Nuclear Structure and Function Open access
Merel Stiekema, Frans C. S. Ramaekers, Dimitrios Kapsokalyvas, Marc A. M. J. van Zandvoort, Rogier J. A. Veltrop, Jos L. V. Broers
21citations -
Detailed Colocalization Analysis of A- and B-type Nuclear Lamins: a Workflow Using Super-Resolution STED Microscopy and Deconvolution2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Nuclear Structure and Function Open access
Merel Stiekema, Owen N. Gibson, Rogier J. A. Veltrop, Frans C. S. Ramaekers, Jos L. V. Broers, Marc A.M.J. van Zandvoort
1citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow2citations
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Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
31citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations -
Super-resolving Herschel : A deep-learning-based deconvolution and denoising technique2026 Astronomy and Astrophysics article Computer Science Advanced Image Processing Techniques Open access
Dennis Koopmans, Lingyu Wang, Berta Margalef-Bentabol, Antonio La Marca, M. Béthermin, Laura Bisigello, +6 more
0citations -
Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows2022 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access
Ludovico Nista, Christoph Schumann, Temistocle Grenga, Antonio Attili, Heinz G. Pitsch
40citations