Unifying and extending Precision Recall metrics for assessing generative models

arXiv:2405.01611v1 Announce Type: new
Abstract: With the recent success of generative models in image and text, the evaluation of generative models has gained a lot of attention. Whereas most generative models are compared in terms of scalar values such as Frechet Inception Distance (FID) or Inception Score (IS), in the last years (Sajjadi et al., 2018) proposed a definition of precision-recall curve to characterize the closeness of two distributions. Since then, various approaches to precision and recall have seen the …

abstract arxiv attention cs.ai cs.lg evaluation generative generative models image metrics precision recall stat.me stat.ml success terms text type values