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Apr 28, 2022 · In this paper, we conduct a comparative study of GANs from different perspectives. We first take a look at developments of GANs.
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Jun 6, 2022 · Today we will learn about SRGAN, an ingenious super-resolution technique that combines the concept of GANs with traditional SR methods.
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Sep 25, 2024 · Learn how to use SRGANs to upscale your low resolution photos to HD using Gradient.
Dec 21, 2020 · The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal work that is capable of generating more realistic texture in ...
Jul 22, 2024 · SRGANs are a class of deep learning models designed to enhance the resolution of images, transforming low-resolution inputs into high-resolution outputs with ...
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Super-Resolution Generative Adversarial Networks (SRGAN) is a deep learning application to generate high resolution (HR) images from low resolution (LR) image.
Aug 21, 2023 · In this study, we introduce a novel Generative Adversarial Network (GAN) to restore high-definition coal photomicrographs.
Jun 9, 2022 · In this paper, we propose a new Generative Adversarial Network (GAN) based architecture for medical images, which maps low-resolution medical images to high- ...
SRGAN is a network that uses generative adversarial networks to convert low-resolution images into high-resolution and realistic images.
This study introduces the perceptual loss minimization technique through efficient learning criteria.