Abstract: In one aspect, there is provided a system including at least one data processor and at least one memory. The at least one memory may store instructions that cause operations when executed by the at least one data processor. The operations may include retrieving a set of authentic base class images from a database. The operations may further include generating, based on the set of authentic base class images, a three dimensional mesh of the base class. The operations may further include retrieving a set of authentic novel class images. The operations may further include generating, at a first neural network and based on the three dimensional mesh and the set of authentic novel class images, a set of synthetic novel class images. The operations may further include training a second neural network based on the set of synthetic novel class images.

Abstract: In one aspect, there is provided a system including at least one data processor and at least one memory. The at least one memory may store instructions that cause operations when executed by the at least one data processor. The operations may include retrieving a set of authentic base class images from a database. The operations may further include generating, based on the set of authentic base class images, a three dimensional mesh of the base class. The operations may further include retrieving a set of authentic novel class images. The operations may further include generating, at a first neural network and based on the three dimensional mesh and the set of authentic novel class images, a set of synthetic novel class images. The operations may further include training a second neural network based on the set of synthetic novel class images.

Abstract: A method for generating synthetic data is provided. The method includes retrieving, from a database, a set of authentic base class images. The method further includes generating a three dimensional mesh of a base class. The method further includes retrieving, from the database, a set of textual descriptions. The method further includes retrieving a set of authentic novel class images. The method further includes generating, at a first neural network, a set of synthetic novel class images, the generating based on at least the three dimensional mesh, the set of textual descriptions, and/or the set of authentic novel class images. The method further includes training, based on at least the set of synthetic novel class images, a second neural network, the second neural network ranking the set of synthetic novel class images and outputting a set of highest ranked synthetic images from the set of synthetic novel class images.