most citedTurbulence Enrichment using Physics-informed Generative Adversarial Networks

48 citations · 48 across the 1 of their papers we have counts for

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1 paper

physics.comp-ph2020★ 48 cited

Turbulence Enrichment using Physics-informed Generative Adversarial Networks

Akshay Subramaniam, Man Long Wong, Raunak D Borker +2

Generative Adversarial Networks (GANs) have been widely used for generating photo-realistic images. A variant of GANs called super-resolution GAN (SRGAN) has already been used succ…