Abstract: Systems and methods herein describe a stylization system. The stylization system accesses an image representing a source image domain, generates a training dataset representing a target image domain, trains a base generative neural network trained to generate images representing the source image domain and images representing adjacent source image domains, trains a final generative neural network using the base generative neural network and the training dataset, the final generative neural network trained to generate images in a target image domain, generates a paired image dataset using the final generative neural network, trains an image generation neural network using the paired dataset, and generates a modified image by applying the image generation neural network on the accessed image, the modified image representing the target image domain.

Abstract: A wrist tracking process is provided for use in Augmented Reality (AR) applications. A computing system captures video frame tracking data of a wrist of a user and generates 3D parameter data of the user's wrist based on the video frame tracking data. The computing system generates 3D render data of a virtual item based on the 3D parameter data of the user's wrist, and 3D model data of a physical item represented by the virtual item. The computing system generates video frame AR data based on the 3D render data and the video frame tracking data. The computing system provides an AR user interface to the user based on the video frame AR data.