9 datasets found

Dataset used for training and testing the DCGAN model

The dataset used in the paper is a GAN training dataset.

Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such...

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...

The AmbientGAN model adapts the original GAN configuration to handle cases with noisy or incomplete samples.

Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such...

The dataset used for calibration during the quantization process.

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

The dataset used in the paper for training and testing the proposed method for detecting, attributing and localizing GAN generated images.