Apr 4, 2023 · This study presents an empirical investigation into the evaluation of synthesis performance, with generative adversarial networks (GANs) as a ...

In order to examine the correlation between the evaluation system and human perceptual judgment, we conduct extensive user studies employing two strategies.

A comprehensive study of evaluation of image synthesis · In all the cases, only the mean values of metrics are reported, no stds. · The authors provide many ...

May 30, 2024 · This study presents an empirical investigation into the evaluation of synthesis performance, with generative adversarial networks (GANs) as a ...

Apr 4, 2023 · Extensive experiments suggest that our approach can be faithfully generalized to various generative tasks, including image generation, 3D-aware ...

evaluating the performance of various generative models trained on single modality (i.e., images). 278. Therefore, evaluating generative models that are trained ...

Code for our metric paper: Revisiting the Evaluation of Image Synthesis with GANs - kobeshegu/CKA-Evaluation.

Oct 21, 2023 · This study evaluated the performance of generative adversarial network (GAN)-synthesized periapical images for classifying C-shaped root ...

Jun 4, 2024 · The primary goal of this study is to provide an understanding of the feature extraction networks' impact on facial image synthesis evaluation.

This paper comprehensively investigates existing sample-based evaluation metrics for GANs and observes that kernel Maximum Mean Discrepancy and the 1 ...