Generative adversarial networks (GANs) ... Elsewhere, GANs have been applied to the problems of super-resolution (image upsampling) and pose estimation (object transformation).

Generative Adversarial Networks (GANs) - These work by pitting two competing algorithms against each other, one tasked with generating data that resembles its training data and another tasked with ...

There are many new developments in the field of artificial intelligence, and one of the most exciting and transformative ideas are Generative Adversarial Networks (GANs). Here we explain in simple ...

The work-in-progress mod’s creator used Gigapixel to upscale the backgrounds, but Another modder posted different but also impressive results using Enhanced Super-Resolution Generative ...

Compared with methods such as FSRGAN (Face Super-Resolution Generative Adversarial Network), PULSE, and Regression (self-regression generation model), SR3 is 'when a 16x16 pixel image is made ...