Style transfer is a technique in computer vision that combines the content of one image with the style of another, producing a new image that retains the original content but adopts the visual aesthetics of the reference style image. This process leverages deep neural networks to extract and recombine content and style features from both images. Applications of style transfer include transforming photographs into artworks reminiscent of famous painters, enhancing creative design, and generating novel visual effects.
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