The article discusses GE-AdvGAN, a novel algorithm aimed at enhancing the transferability of adversarial samples while also improving the algorithm’s efficiency. This is achieved by optimizing the training process of…
Continue readingThe paper proposes HyperGANStrument, a novel neural synthesizer that enhances the generation capability of GANStrument by introducing a pitch-invariant hypernetwork. This hypernetwork modulates the weights of a pre-trained GANStrument generator,…
Continue readingThis 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 article introduces Gaussian Shell Maps (GSMs), a new framework for efficient 3D human generation. It connects state-of-the-art generator network architectures with 3D Gaussian rendering primitives using a multi-shell based…
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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