January 01, 2019 conference-paper ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Lecture notes in computer science DOI: 10.1007/978-3-030-11021-5_5 OpenAlex Authors 0 Author list not loaded yet. Cited by 8 stored of 4,020 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI 2024 Journal of Imaging Informatics in Medicine article Computer Science Advanced Image Processing Techniques Open access 7 citations SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments 2023 The European Physical Journal C article Physics and Astronomy Particle Detector Development and Performance Open access 3 citations Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data 2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access 31 citations AI Super-Resolution: Application to Turbulence and Combustion 2023 Lecture notes in energy book-chapter Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Influence of adversarial training on super-resolution turbulence reconstruction 2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C 2022 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies Open access 8 citations Predictive Data-Driven Model Based on Generative Adversarial Network for Premixed Turbulence-Combustion Regimes 2022 Combustion Science and Technology article Engineering Combustion and flame dynamics Open access 15 citations Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows 2021 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks 1 citations 8 results References 0