The performance of DynGAN and previous GAN on synthetic data sets. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing ...

Unlike GANs, however, our method does not suffer from mode collapse/dropping and is stable to train. As a result, we are able to generate different predictions for the same input. Below are two ...