Deep Learning for Computer Vision

Style transfer

Now we know how to reconstruct an image, as well as how to construct an image that captures the style of an original image. The obvious idea may be to just combine these two approaches by weighting and adding the two loss functions, as shown in the following code:

w,h = style.size
src = img_arr[:,:h,:w]

Like before, we're going to grab a sequence of layer outputs to compute the style loss. However, we still only need one layer output to compute the content loss. How do we know which layer to grab? As we discussed earlier, the lower the layer, the more exact the content reconstruction will be. In merging content reconstruction with style, we might expect that a looser reconstruction of the content will allow ...