This article presents a new image inversion architecture that extracts high-rate latent features for image editing with StyleGAN models. The authors discuss the challenges of image editing with pretrained GAN…
Continue readingThe study introduces a new face swapping method leveraging the progressively growing structure of a pre-trained StyleGAN. Instead of the traditional encoder-decoder structures and embedding integration networks, this method disentangles…
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