Systems and Methods for Disentangling Factors of Variation in Computer Vision Systems Using Cycle-Consistent Variational Auto-Encoders

摘要

Computer vision systems and methods for image to image translation are provided. The system samples a first image and a second image of a dataset. The system utilizes a variational auto-encoder to execute a cycle consistent forward cycle and a cycle consistent reverse cycle on each of the first image and the second image to generate a disentanglement representation of the first image and a disentanglement representation of the second image, and generate a first reconstructed image and a second reconstructed image based on the first image disentanglement representation and the second image disentanglement representation.