Auto-translation used

How artificial intelligence learned to create realistic images

One of the most amazing and promising areas in the field of artificial intelligence is the generation of images using neural networks. In recent years, neural networks have achieved amazing results in creating realistic images and even works of art.

What is the secret of AI's success in image generation?

- Huge data for training. To teach a neural network to create realistic pictures, it is trained on millions of real photos and images.

- Improved neural network architecture. Modern models, such as DALL-E 2 and Stable Diffusion, use deep learning neural networks with advanced architecture.

- Progress in computing power. For the training and operation of such models, serious computing resources are required, which have appeared relatively recently.

With the help of these technologies, AI can already generate photos of people, animals, interiors and landscapes that are indistinguishable from the real ones. Moreover, the systems support the generation of images based on a text description.

In the future, the capabilities of AI in creating visual content will only grow. This opens up broad prospects for design, advertising, games and movies. But at the same time, there are risks of spreading fake images and videos for destructive purposes. As with other AI technologies, a reasonable and ethical approach is needed here.

Comments 0

Login to leave a comment