Ai in art, 2 approaches / two perspectives
Ai in art, 2 approaches / two perspectives The expression or application of human creativity and imagination, usually in visual form such as painting or sculpture, to create works valued primarily for their beauty or emotional power, often how people think of art. In this article, we describe two approaches to art creation based entirely on AI participation. Mostly emerging in the mid-2010s, the most common types of AI art revolve around processing images, recognizing aspects like color, texture, and text. There are many types of AI that can create Art. Some of them would be: General Adversarial Network (GAN), Convolutional neural networks (CNN), Neural style transfer (NST). We will talk more on GAN and NST as they are two different methods which offer a whole different perspective on how images are created. Generative Adversarial Network (GAN) A generative adversarial network (GAN) is a class of machine learning frameworks designed by I...