4 datasets found

Groups: GANs Tags: Generative Adversarial Networks

Filter Results
  • Generative Adversarial Networks

    Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects...
  • StyleGAN2-ADA

    The dataset used for calibration during the quantization process.
  • StyleGAN2

    This dataset is used in the paper to demonstrate the effectiveness of the GANSpace technique.
  • StyleGAN

    The dataset used in the paper for training and testing the proposed method for detecting, attributing and localizing GAN generated images.
You can also access this registry using the API (see API Docs).