Generative adversarial networks (GAN) are improved to better estimate realness.
problem Estimating realness from multiple perspectives in GANs.
method Developed RealnessGAN, which outputs a distribution of realness.
result RealnessGAN outperforms multiple baselines and generates realistic images at high resolution.