Systems and Methods for Generative Ensemble Networks

Abstract

Systems and methods for training a generative ensemble network to generate image data in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating an image through an ensemble network architecture. The method includes steps for passing a set of one or more images through a single standard convolution layer that acts as a root node to produce a first output and passing the first output through a plurality of branches to produce a plurality of outputs for the plurality of branches. Each branch is a separate and independent network that receives input from the single standard convolution layer. The method further includes steps for passing the plurality of outputs through a supervisor layer that combines the plurality of outputs into a final solution.

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