Visual Art Processing#
Neural style transfer is a technique in computer vision that uses deep learning to transfer the style of one image to the content of another. This can be used to create artistic effects, such as turning a photograph into a painting or merging the styles of multiple images into a single composite. Neural style transfer algorithms typically use a convolutional neural network to analyze the style and content of the input images and then generate a new image that combines the style of the first image with the content of the second. This process often involves iteratively refining the generated image to improve the quality of the style transfer.