A neural algorithm of artistic style code

1. What is the use of neural style transfer?
2. How does style transfer work?
3. Is an artistic image modification technique that uses representation learn by convolutional neural networks?
4. What is Gram matrix in neural style transfer?

What is the use of neural style transfer?

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 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.

Is an artistic image modification technique that uses representation learn by convolutional neural networks?

The purpose of texture synthesis is to generate high perceptual quality images that imitate a given texture. This is done using a trained convolutional neural network for object classification.

What is Gram matrix in neural style transfer?

The Gram or Gramian Matrix is used in Neural Style Transfer, a Machine Learning use case for transferring the style of image into another.