| CPC H04N 21/251 (2013.01) [G06N 3/044 (2023.01); G06N 3/08 (2013.01); H04N 21/25883 (2013.01); H04N 21/25891 (2013.01)] | 20 Claims |
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1. A method comprising:
receiving image data;
receiving object data;
retrieving a plurality of verified depictions of content;
accessing a neural network framework, wherein the neural network framework comprises a generator neural network and a discriminator neural network;
generating a proposed content depiction, by inputting into the generator neural network of the neural network framework: at least one of the image data, the object data, or the plurality of verified depictions of content;
determining whether the proposed content depiction is accepted by inputting into the discriminator neural network of the neural network framework: the proposed content depiction generated by the generator neural network, and the plurality of verified depictions of content;
based on determining that the proposed content depiction is not accepted:
modifying configurations of the generator neural network of the neural network framework and the discriminator neural network of the neural network framework; and
repeating the generating and the determining steps;
based on determining the proposed content depiction is accepted:
storing the proposed content depiction in a content platform in association with the content; and
generating for display the stored proposed content depiction on the content platform.
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