 Neural style transfer

Neural Style Transfer (NST) is a technique in computer vision and deep learning that allows for the combination of the content of one image with the style of another image to create a new artwork. The concept gained significant attention with the advent of deep learning, particularly through the use of convolutional neural networks (CNNs).