Comparison of Frchet-based and Perceptual Metrics for Detecting Mode Collapse in Large-Scale Multimodal Generative Models

Abstract

Abstract: Abstract We present two new metrics for evaluating generative models in the class-conditional image generation setting. These metrics are obtained by generalizing the two most popular unconditional metrics: the Inception Score (IS) and the Frchet Inception Distance (FID). A theoretical analysis shows the motivation behind each proposed metric and links the novel metrics to their unconditional counterparts. The link takes the form of a product in the case of IS or an upper bound in the FID case. We provide an extensive empirical evaluation, comparing the metrics to their unconditional variants

Research Question

How do Fréchet-based metrics compare to perceptual metrics in detecting mode collapse for large-scale multimodal generative models?

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