crossrefMachine Learning and Knowledge Extraction2024-07-07Cited by 19
Evaluation Metrics for Generative Models: An Empirical Study
Eyal Betzalel, Coby Penso, Ethan Fetaya
Generative models such as generative adversarial networks, diffusion models, and variational auto-encoders have become prevalent in recent years. While it is true that these models have shown remarkable results, evaluating their performance is challenging. This issue is of vital…