Generative Facial Prior-Generative Adversarial Network (GFP-GAN)

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• Generative Adversarial Network (GAN)
• Semi-Supervised Learning with Generative Adversarial Network (SSL-GAN)
• Context-Conditional Generative Adversarial Network (CC-GAN)
• Image-to-Image Translation
• Autoencoder (AE) / Encoder-Decoder
• Variational Autoencoder (VAE)
• Generated Image

Conventional methods fine-tune an existing AI model to restore images by gauging differences between the artificial and real photos. That frequently leads to low-quality results, the scientists said. The new approach uses a pre-trained version of an existing model (NVIDIA's StyleGAN-2) to inform the team's own model at multiple stages during the image generation process. The technique aims to preserve the "identity" of people in a photo, with a particular focus on facial features like eyes and mouths.