Advancing the Field of AI With Improvements in Generative Adversarial Networks (IMAGE)
Caption
Researchers from Chung-Ang University propose a strategy that addresses the stability and efficiency issues of GANs, boosting their performance while also being flexible enough to adapt to different data types and objectives.
Credit
Mike MacKenzie on Flickr Image source link: https://openverse.org/en-za/image/4984f318-2feb-4256-ad42-a70de04807b4
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Credit must be given to the creator.
License
CC BY