General Electric Company
CONCURRENT IMAGE AND CORRESPONDING MULTI-CHANNEL AUXILIARY DATA GENERATION FOR A GENERATIVE MODEL

Abstract:

Systems and techniques for providing concurrent image and corresponding multi-channel auxiliary data generation for a generative model are presented. In one example, a system generates synthetic multi-channel data associated with a synthetic version of imaging data. The system also predicts multi-channel imaging data and the synthetic multi-channel data with a first predicted class set or a second predicted class set. Furthermore, the system employs the first predicted class set or the second predicted class set for the synthetic multi-channel data to train a generative adversarial network model.