With the advent of artificial intelligence, we are seeing more and more examples of how this technology can be used to create works of art. One such example is GauGAN, a software that uses AI to turn simple doodles into realistic landscape images. In this blog post, we will take a look at how GauGAN works and some of the images that have been created with it.
How Does GauGAN Work?
GauGAN is a type of generative adversarial network (GAN), which is a neural network composed of two parts: a generator and a discriminator. The generator creates images, while the discriminator evaluates them to see if they are real or fake. Through this process, the generator learns to create realistic images.
GauGAN was trained on a dataset of 50,000 landscapes as well as photos of different types of textures, such as water, sky, grass, and rocks. This allowed the software to learn the characteristics of real-world images in order to generate its own. Users can then interact with the software by drawing rough sketches of their own landscape designs. These sketches are then turned into photo-realistic images by the AI.
Some Examples of Images Created with GauGAN
Below are some examples of images that have been created with GauGAN. As you can see, the software is able to create quite realistic images from simple sketches.
GauGAN is just one example of how artificial intelligence can be used to create works of art. This type of software has a lot of potential applications in the field of design and could potentially be used to create high-quality images for architecture and interior design projects. We are excited to see what other creative uses for AI emerge in the future!
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