A I is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, ...

Unofficial implementation of the SR model proposed by Pan et al. in the paper "LPSRGAN: Generative Adversarial Networks for Super-Resolution of License Plate Image". This repository follows the ...

Super-resolution GANs, like the SRGAN (Super-Resolution Generative Adversarial Network), have demonstrated significant advancements in image quality enhancement.

In this study, we introduce Light-ESRGAN, a novel cellular image super-resolution reconstruction model utilizing Generative Adversarial Networks (GANs). High-resolution (HR) cellular images are ...

Methods: Here, we present DiffraGAN, a conditional generative adversarial network (cGAN) that estimates the missing phases at high resolution from a combination of single particle high-resolution ...

Explore Generative Adversarial Networks (GANs) with our concise guide. Understand their core concepts, architecture, types, and training methods. Learn about their evolving role in advancing AI ...

High-resolution digital elevation models (DEMs) are widely used in many fields such as mapping, hydrology, meteorology and geology, where they can improve the accuracy and reliability of many ...