Click4Ai

345.

Hard

Style Transfer

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In this problem, you will implement the style transfer algorithm, which is a technique used in computer vision to transfer the style of one image to another. This is achieved by separating the content and style of an image and then combining them to produce a new image that has the style of the target image but the content of the source image.

Example:

Suppose we have two images, a source image of a landscape and a target image of a painting. We want to transfer the style of the painting to the landscape image.

Constraints:

  • The source and target images should be the same size.
  • The style transfer algorithm should be implemented using a neural network.
  • The algorithm should use the gram matrix to calculate the style loss.

    • Test Cases

    Test Case 1
    Input: ['content_image.jpg', 'style_image.jpg', (256, 256)]
    Expected: output_image.jpg
    Test Case 2
    Input: ['landscape.jpg', 'painting.jpg', (512, 512)]
    Expected: output_image.jpg
    + 3 hidden test cases