What are the different branches of AI for visual artists?

Visual artists have been using artificial intelligence (AI) techniques to push the boundaries of creativity and create disruptive art forms. The different branches of AI for visual artists include computer vision, generative adversarial networks (GANs), style transfer, and deep learning. Computer vision allows artists to analyze and interpret visual content, enabling machines to recognize and understand images. GANs enable the generation of new and unique images by pitting two AI models against each other. Style transfer techniques allow artists to apply the style of one image onto another, enabling the creation of mesmerizing and imaginative compositions. Deep learning techniques, such as convolutional neural networks, help artists to automate the process of image creation and manipulation, providing new avenues for artistic exploration. Overall, these branches of AI empower visual artists to experiment with new techniques and expand the boundaries of their creativity.

This mind map was published on 7 January 2024 and has been viewed 135 times.