Topological Alternatives for Precision and Recall in Generative Models
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DOI: 10.1109/access.2025.3598704
Abstract: We introduce the Normalized Topological Divergence (NTD), a fully differentiable metric that simultaneously quantifies fidelity and diversity of generative models directly in raw pixel or spectrogram space, eliminating reliance on pretrained feature extractors. For two… read more here.
Keywords: alternatives precision; generative models; precision recall; topological alternatives ... See more keywords