WCT - TF Image Universal Style Transfer Implementation
WCT - TF is a universal style transfer project based on TensorFlow/Keras, derived from the paper "Universal Style Transfer via Feature Transforms", which can apply any style to images. In the field of artistic creation, it can apply the styles of famous paintings to personal photos, creating unique artworks; in image editing software, this feature can be used to add specific artistic effects to images. When using it, selecting a style image that matches the theme of the content image can achieve better visual effects. In the field of style transfer, fast-style-transfer (a fast style transfer project based on TensorFlow), pytorch-CycleGAN-and-pix2pix (an image-to-image translation project based on PyTorch), and others together with WCT-TF form an ecosystem that provides users with a variety of choices and solutions to meet the demands for image style transformation in different scenarios.
