5 datasets found

Groups: Image Generation

Filter Results

  • GAN datasets

    The dataset used in this paper is a collection of images generated by different Generative Adversarial Networks (GANs). The dataset is used to evaluate the performance of GANs...

  • MNIST Fashion & CIFAR-10

    MNIST Fashion and CIFAR-10 are two well-known balanced datasets, MNIST Fashion and CIFAR-10. We first sample 70% of images as the training set for generative models.

  • Improved Balancing GAN: Minority-class Image Generation

    Generative adversarial networks (GANs) are one of the most powerful generative models, but always require a large and balanced dataset to train. Traditional GANs are not...

  • 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.