25 citations · 80 across the 11 of their papers we have counts for
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cs.LG2019★ 6 cited
Revisiting Precision and Recall Definition for Generative Model Evaluation
Loïc Simon, Ryan Webster, Julien Rabin
In this article we revisit the definition of Precision-Recall (PR) curves for generative models proposed by Sajjadi et al. (arXiv:1806.00035). Rather than providing a scalar for ge…
cs.LG2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster, Julien Rabin, Loic Simon +1
State of the art deep generative networks are capable of producing images with such incredible realism that they can be suspected of memorizing training images. It is why it is not…