Explore the exciting world of artificial intelligence and how it can be used to create stunning visual art. From generative art to neural style transfer, there are many different techniques and tools that can be used to create AI art.
One popular form of AI art is generative art, which uses algorithms to create unique and unexpected visual patterns. Artists such as Joshua Davis and Golan Levin have used generative art techniques to create mesmerizing digital artworks. Another popular form of AI art is neural style transfer, which uses machine learning algorithms to apply the style of one image to another. Artists such as DeepDream and Pikazo have used this technique to create striking and surreal images.
Another type of AI art is GAN (Generative Adversarial Networks) art, which uses two neural networks, one to generate new images and another to evaluate them. Artists such as Robbie Barrat and David Ha have used GANs to create realistic and often uncanny images.
Another approach of AI art is using pre-trained models for creating art, where the artist inputs an image and the model generates a new image based on it. These models are called as Transformer models and are widely used in computer vision and natural language processing tasks. Artists such as Gene Kogan and Janelle Shane have used these models to create amazing artworks.
In this video, we will also take a look at some of the tools and resources available for creating AI art, online tutorials and communities for learning and sharing AI art. We will also showcase some of the most innovative and exciting AI art being created today, by artists such as Refik Anadol, Memo Akten, and Zach Lieberman.
So join us on this journey as we explore the exciting world of AI art and learn how to create our own unique and beautiful digital artworks. Get ready to be inspired, amazed and excited by the possibilities of AI art!
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