The task has now been effectively solved, for anime faces as well as many other domains, by the development of a new generative adversarial network, StyleGAN, whose source code was released in February 2019. Generative neural networks, such as GANs, have struggled for years to generate decent-quality anime faces, despite their great success with photographic imagery such as real human faces. Reversing StyleGAN To Control & Modify Images. ![]() Discriminator Ranking: Using a Trained Discriminator to Rank and Clean Data.
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