| Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations | Jul 31, 2019 | Generative Adversarial Network | —Unverified | 0 |
| Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments | May 27, 2020 | Generative Adversarial Network | —Unverified | 0 |
| Generative Adversarial Network: Some Analytical Perspectives | Apr 25, 2021 | Generative Adversarial Network | —Unverified | 0 |
| Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit | Feb 1, 2017 | Generative Adversarial Network | —Unverified | 0 |
| Generative Adversarial Networks to infer velocity components in rotating turbulent flows | Jan 18, 2023 | Generative Adversarial Network | —Unverified | 0 |
| Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN | Jan 3, 2023 | ClassificationData Augmentation | —Unverified | 0 |
| GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images | Feb 14, 2019 | Generative Adversarial NetworkStyle Transfer | —Unverified | 0 |
| Generative Adversarial Network Training is a Continual Learning Problem | Nov 27, 2018 | Continual LearningGenerative Adversarial Network | —Unverified | 0 |
| PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network | Jan 19, 2021 | Generative Adversarial NetworkMemorization | —Unverified | 0 |
| Feature Super-Resolution: Make Machine See More Clearly | Jun 1, 2018 | Generative Adversarial NetworkImage Super-Resolution | —Unverified | 0 |
