67 datasets found

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

The dataset is used to evaluate the distributional approach to reinforcement learning (DiRL) and its equivalence to Generative Adversarial Networks (GANs).

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.

Training generative adversarial networks requires balancing of delicate adversarial dynamics. Even with careful tuning, training may diverge or end up in a bad equilibrium with...