This repository implements the neural style transfer algorithm originally described by Gatys et al., using TensorFlow to extract and separate content and style features from images via CNNs. The implementation supports transferring artistic styles to images and videos, preserving color in transfers, and applying multiple styles simultaneously. Users provide a content image and a style reference image, and the model optimizes output to match content features while matching style correlations.