This tutorial uses deep learning to compose one image in the style of another image (ever wish you could paint like Picasso or Van Gogh?). This is known as neural style transfer and the technique is outlined in A Neural Algorithm of Artistic Style (Gatys et al.).
Note: This tutorial demonstrates the original style-transfer algorithm. It optimizes the image content to a particular style. Modern approaches train a model to generate the stylized image directly (similar to cyclegan). This approach is much faster (up to 1000x).
For a simple application of style transfer check out this tutorial to learn more about how to use the pretrained Arbitrary Image Stylization model from TensorFlow Hub or how to use a style transfer model with TensorFlow Lite. This project is based on the Neural style transfer using Tensorflow.
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