Style Transfer is a technique in computer vision and artificial intelligence that allows the style of one image to be applied to the content of another. This process uses deep learning algorithms, particularly convolutional neural networks, to separate and recombine content and style from different images. For example, you can take a photograph of a landscape and apply the artistic style of a famous painting, like Starry Night by Vincent van Gogh. The result is a new image that retains the original scene's structure while adopting the colors and brushstrokes of the artwork, creating a unique blend of both.