no code implementations • 17 Dec 2023 • Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
With the advancement of generative models, the assessment of generated images becomes more and more important.
no code implementations • 19 Aug 2022 • Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
Our results indicate that the features from random networks can evaluate generative models well similarly to those from trained networks, and furthermore, the two types of features can be used together in a complementary way.
no code implementations • 30 Apr 2021 • Junghyuk Lee, Jong-Seok Lee
The Frech\'et Inception distance is one of the most widely used metrics for evaluation of GANs, which assumes that the features from a trained Inception model for a set of images follow a normal distribution.