In this paper we present a general evaluation framework for generative models that measures the trade-off between precision and recall using R\'enyi divergences ...
Jun 15, 2021 · Divergence frontiers have recently been proposed as an evaluation framework for generative models, due to their ability to measure the quality-diversity trade- ...
Evaluating Generative Models using Divergence Frontiers. Josip Djolonga. Mario ... In this paper we present a general evaluation framework for generative models ...
May 26, 2019 · A general evaluation framework for generative models that measures the trade-off between precision and recall using Renyi divergences is ...
Jun 10, 2024 · Divergence frontiers have recently been proposed as an evaluation framework for generative models, due to their ability to measure the quality- ...
The spectacular success of deep generative models calls for quantitative tools to measure their statistical performance. Divergence frontiers have recently ...
Nov 9, 2021 · This paper studies the statistical behavior of the divergence frontiers and its statistical summary for evaluating generative models.
In this paper, we present a general evaluation framework for generative models that measures the trade-off between precision and recall using Rényi divergences.
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals.
In this paper, we present a general evaluation framework for generative models that measures the trade-off between precision and recall using Rényi divergences.