Verified75% confidenceFactExact time
FID (Fréchet Inception Distance) is a quantitative metric used to measure the distance between the distribution of generated images and real photographs.
3
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75%
Confidence
Long-term
Relevance
9/19/2026
First Seen
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VerifiedFID measures the distributional distance between generated images and real images in feature space; a lower value indicates higher generation quality.79% similarUnverifiedFID 由 Heusel 等人于2017年提出，通过比较真实图像与生成图像在 Inception 网络特征空间中的分布距离来衡量生成质量，数值越低越接近真实图像分布76% similarUnverifiedEvaluating image generation models requires a multi-dimensional metric system including FID score, CLIP score, and inference speed.72% similarUnverifiedFID is calculated by comparing the differences in means and covariance matrices between real images and generated images in the feature space of the Inception-v3 network, but it is insensitive to local semantic quality.63% similarUnverifiedFID和LPIPS等视觉质量指标可以衡量图像逼真程度，但无法捕捉物理合理性62% similar
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