This repository provides a deep learning implementation for fast neural style transfer, based on Gatys’ algorithm, Johnson’s perceptual losses approach, and Ulyanov’s instance normalization technique. The system uses convolutional neural networks to stylize images in approximately 100ms on a GPU, and can also process video frames for full video stylization. The implementation combines multiple academic approaches into a working system for real-time artistic image transformation.