International Business Machines Corporation
DIGITAL CONTENT VARIATIONS VIA EXTERNAL REACTION

Abstract:

A method for performing an iteration of an output of a trained GAN may be provided. The method comprises receiving an object as input for the GAN, determining a set of features of the input by the generator adversarial network, generating, by the GAN, at least one modification to one feature of the set of features of the object, generating as output of the GAN the received object as a basis, and the generated modification building a modified object, capturing a feedback signal, and receiving the feedback signal as input by the GAN in a feedback loop for a next iteration. Moreover, the method comprises repeating the determination of a set of features, the generation of at least one modification, the generation of the output and the caption of the feedback signal in the next iteration, wherein as object the modified object is used as the object.