Artistic style transfer

1. What is artistic style transfer?
2. What is style transfer in deep learning?
3. How does image style transfer work?
4. What is text style transfer?

What is artistic style transfer?

What is style transfer? Style transfer is a computer vision technique that takes two images—a content image and a style reference image—and blends them together so that the resulting output image retains the core elements of the content image, but appears to be “painted” in the style of the style reference image.

What is style transfer in deep learning?

Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image.

How does image style transfer work?

Style transfer works by activating the neurons in a particular way, such that the output image and the content image should match particularly in the content, whereas the style image and the desired output image should match in texture, and capture the same style characteristics in the activation maps.

What is text style transfer?

Text style transfer is defined as a task of adapting and/or changing the stylistic manner in which a sentence is written, while preserving the meaning of the original sentence. A systematic review of text style transfer methodologies using deep learning is presented in this paper.