GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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Updated
Apr 2, 2024 - Python
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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