The team acknowledges that their system could potentially be abused by bad actors, but they believe that more important, it will help researchers better understand how Generative Adversarial Networks (GANs) work to improve our ability at detecting fake images.
Potential applications include letting artists, designers, and filmmakers make fast changes or create entire scenes from scratch.
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