Abstract: Provided is a system and a method for image synthesis of dental anatomy transformation. In an aspect, there is provided a method including: receiving an input image, the input image including a mouth with teeth exposed; building an input segmentation map using the input image as input to an artificial neural network; transforming the input segmentation map into an input latent vector using a trained encoder; transforming the input latent vector to an output latent vector using a trained transformer machine learning model; transforming the output latent vector to an output segmentation map using a trained decoder; generating a simulated image using the output segmentation map as input to a generative adversarial network; and outputting the simulated image, the output segmentation map, or both.

Abstract: Provided is a system and a method for image synthesis of dental anatomy transformation. In an aspect, there is provided a method comprising: receiving an input segmentation map; transforming the input segmentation map into an input latent vector using a trained encoder; transforming the input latent vector to an output latent vector using a trained transformer machine learning model; transforming the output latent vector to an output segmentation map using a trained decoder; and outputting the output segmentation map.