I have a set of around 60 fractals (e.g
And a set of 60 snacks (e.g
And I want to apply the style of the fractal on the snack.
Is this possible? Or must I take specifically images from an existing data set with a pre-trained images model?
Thanks
I have a set of around 60 fractals (e.g
And a set of 60 snacks (e.g
And I want to apply the style of the fractal on the snack.
Is this possible? Or must I take specifically images from an existing data set with a pre-trained images model?
Thanks
It depends whether the method involves training a model on style data or not.
At least one method does not require that at all, instead training a network on a classification task and then infering the style of an image during the style transfer. So you can use a model that has been pre-trained on images that you do not have, and then use it and your images to perform the style transfers.
There is some ready-to use code to do that : example