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

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 ...

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 ...

That's what ESRGAN, or Enhanced Super Resolution Generative Adversarial Networks, are all about. OK, that name is a mouthful, and I'm not about to pretend I fully understand how it works.

A generative adversarial network (GAN) is a deep neural system that can be used to generate synthetic data. GANs are most often used with image data but GANs can create any type of data. GANs are ...

Not only the generative adversarial network is capable of autonomously creating human faces, ... 5070 Ti and 5070 SUPER could finally fix the biggest flaw — not enough VRAM.