Oct 12, 2022
How AI Art Programs Work?
You’ve seen the results of AI Art programs and you’re impressed. But how do these programs work? In this blog post, we’ll take a look at how AI Art programs generate works of art that are often indistinguishable from those created by humans.
To understand how AI Art programs work, it’s first important to understand what types of data these programs are working with. Generally speaking, AI Art programs are designed to work with two types of data:
- Raster images: These are images made up of pixels, like photographs.
- Vector graphics: These are images made up of points, lines, and curves.
Most AI Art programs are designed to work with raster images, as they provide more information for the program to work with. However, some programs are also able to work with vector graphics.
Once the program has access to the necessary data, it will begin to generate possible results. This is done by algorithms that create new images based on the existing ones. The algorithm will continue to create new images until it finds one that it deems worthy of outputting.
The vast majority of AI Art programs are based on neural networks. Neural networks are algorithms that are designed to mimic the way that the human brain processes information. They do this by taking in input and then generating output based on what they have learned.
A common type of neural network is a convolutional neural network (CNN). This type of neural network is often used for image recognition. The CNN takes in an image and then attempts to identify certain features in that image. For example, a CNN might be able to identify a given object in an image or identify the edges of an object.
Convolutional neural networks are often used for image recognition tasks because they have proven to be very successful at these tasks. Many state-of-the-art image recognition systems are based on convolutional neural networks.
So how does all of this translate into creating art? Well, there are a few different ways that AI Art programs can go about generating works of art. One popular method is style transfer. Style transfer is a technique that takes two images — a content image and a style image — and then combines them to create a new image that contains the content of the first image and the style of the second image.
For example, imagine you have a photograph of a landscape and you want it to look like a painting. You would take the photograph (content image) and select a painting that has a similar composition (style image). The style transfer algorithm would then combine these two images to create a new image that contains the content of the photograph but the style of the painting.
Conclusion
And there you have it! That’s how most AI Art programs generate their stunning works of art. By taking in data and then running it through algorithms, these programs can come up with results that rival those created by humans — and sometimes even exceed them!
