Is Neural Style Transfer considered supervised or unsupervised learning?

Neural style transfer is part of convolution neural network but not machine learning. The way we define supervised and unsupervised learning is seems to be part of machine learning but it is not, supervised learning is just weather we are focusing on a desired output and whereas in case of unsupervised learning we don't really focus on any predefined output.

So similarly in case of neural transfer learning we are not focusing on any predefined output rather than we are just getting modified version of two image. So this not case of supervised learning

Neural style transfer is not really machine learning, but an interesting side effect/output of machine learning on image tasks. When performing neural style transfer using a pre-trained model, then a significant amount of supervised machine learning has already occurred to enable it.

The style transfer algorithm is still an example of gradient-based cost function optimisation, which it shares with many supervised and unsupervised learning algorithms.

The output of style transfer is partially a probe into what a network has learned about different levels of structure in the problem domain it has been trained on. However, its main use has been to generate images with altered/mixed aesthetics for art and entertainment.