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• W3120984979 abstract "GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generator. As an emerging technique to bridge the real and fake image domains, GAN inversion plays an essential role in enabling the pretrained GAN models such as StyleGAN and BigGAN to be used for real image editing applications. Meanwhile, GAN inversion also provides insights on the interpretation of GAN's latent space and how the realistic images can be generated. In this paper, we provide an overview of GAN inversion with a focus on its recent algorithms and applications. We cover important techniques of GAN inversion and their applications to image restoration and image manipulation. We further elaborate on some trends and challenges for future directions." @default.
• W3120984979 created "2021-01-18" @default.
• W3120984979 creator A5028709578 @default.
• W3120984979 creator A5033444412 @default.
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• W3120984979 creator A5074865219 @default.
• W3120984979 creator A5079361172 @default.
• W3120984979 creator A5085029347 @default.
• W3120984979 date "2021-01-14" @default.
• W3120984979 modified "2023-09-25" @default.
• W3120984979 title "GAN Inversion: A Survey" @default.
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