What are AI drawing algorithms ?
Creating complex and realistic images in seconds has become the norm these days. If such exploits are now possible, it is thanks to the numerous hidden algorithms that make image generation tools work. These are varied and each have their own specificities. If you want to learn a little more about them, this article tells you about it. Focus on the main AI drawing algorithms.
Generative Adversarial Networks (GAN)
Also called generative adversarial networks, this is the most remarkable advance in the field of automatic image generation. As the name suggests, this class of algorithms brings together two neural networks, a generator and a discriminator.
En parallèle : How Is Machine Learning Transforming Weather Prediction Models?
The two networks work together, with the discriminator correcting the generator in order to obtain a perfect image. Throughout this zero-sum game theory, the generator improves by producing more and more realistic images. At the same time, the discriminator refines its ability to distinguish non-realistic images from the generator.
We therefore obtain better quality images, which will be difficult to categorize as generated with AI. The most advanced image generation tools currently integrate this type of algorithm. You can learn about artificial intelligence image generation here, using this generation tool.
Cela peut vous intéresser : GPT Chatbots for appointment scheduling and medical records management
Convolutional Neural Networks (CNN)
This class of algorithms is also widely used in AI image generation. These are deep learning algorithms that capture relationships between pixels in an image. What makes this learning possible are the convolution, pooling, and fully connected layers that make up CNNs.
For creating digital art, synthesizing realistic images and generating content for video games, they are therefore particularly useful. To enable them to generate the images you want, simply train them on large image datasets. They are thus able to recognize and reproduce visual patterns such as shapes, textures and structures.
Note that beyond CNNs, other learning algorithms such as (DRL) exist. The latter combines the principles of deep learning with reinforcement learning techniques.
Recurrent Networks (RNN)
Like Convolutional Neural Networks and deep reinforcement learning (DRL) algorithms, recurrent networks (RNN) are a class of deep learning algorithms. Unlike other traditional networks, RNNs are designed to process sequential data, such as sequences of images or text.
They also use training data to learn. That said, what makes them special is their ability to create new data taking into account previously generated data. To put it simply, these algorithms have memory, unlike traditional deep neural networks.
Recurrent networks are therefore ideal for generating images that follow complex patterns or dynamic sequences.
What is the point of using AI to generate images?
Now that you know more about the algorithms used, let's look at the benefits of using AI to generate images. If you are still hesitant to get started, here are simple reasons to adopt this tool.
The diversity of creations
The diversity of image generator creations is the primary benefit of their use. They can indeed help you in many areas. If you are a graphic designer, you can use it to create the logos of your choice. You can also use them for the design of prototypes, industrial designs or characters. These tools are also useful for creating paintings, photographs, illustrations, etc. So it's safe to say that they can do it all.
Saving time and productivity
Another benefit of using them is the time they save. By using an AI-powered generator, you can complete a task lasting several hours or several days in just a few seconds. Simply provide detailed prompts to the tool, leaving out no information necessary to create the desired image. All you have to do is wait for it to generate the graph of your choice.
Inexhaustible source of inspiration
AI creations can also be real sources of inspiration for graphic design professionals and artists. Since their algorithms learn from millions of data, they can surprise with their production. If you're lacking inspiration or experiencing a creative block, AI tools can be a valuable resource and endless source of inspiration.