FLD+ evaluates generative models by exponentiating the ratio of average log-likelihoods of generated versus real images computed by a normalizing flow on pooled pretrained features.
Rethinking fid: Towards a better evaluation metric for image generation.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9307–9315, 2023
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FLD+: Data-efficient Evaluation Metric for Generative Models
FLD+ evaluates generative models by exponentiating the ratio of average log-likelihoods of generated versus real images computed by a normalizing flow on pooled pretrained features.