Image creation

There are a multitude of algorithms for generating images with so many different uses. Let’s take a look at a few examples.

Deepfake :

Artificial intelligence replaces one face with another. The algorithm will learn to reproduce the features and characteristics of a face to “correct” the original material.

Style transfer :

Artificial intelligence copies the style of one image onto another. First, the algorithm analyzes the visual characteristics such as textures, colors and shapes of the two given images. Then, it alters the characteristics of the target image to match the style.

Image generators:

They are also known as GANs, or Generative Adversarial Networks. Here, two algorithms are in competition during training. One produces an image based on its database, while the second evaluates this production. As long as the evaluator is not fooled, the process starts again.

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