New DynGAN Framework May Resolve Mode Collapse in GANs

Generative adversarial networks (GANs) have become increasingly popular as generative AI applications expand. However, this development has also made these models’ flaws all the more prevalent. Mode collapse is perhaps the most prominent of these shortcomings, but a new framework called DynGAN may pose a solution.

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