A hands-on guide to Neural Neighbor Style Transfer

Neural Neighbor Style Transfer (NNST) is the upgraded version of the original Neural Style Transfer (NST). Neural Style Transfer is a type of algorithm that stylizes the digital image or video by adopting the visual style from another image. It is a deep learning-based algorithm that creates digital artwork from photographs, for example stylizing the user given images using famous paintings. Neural Neighbor Style Transfer is the latest model that is used for creating styled images, it can be implemented by the PyTorch deep learning framework. In this article, we are going to understand the Neural Neighbor Style Transfer, from its introduction to its working. Below are the major points that we are going to discuss in this post. Table of contents Introduction to Neural Neighbor Style T