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Li-Xiang Song

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Open access 2026

Practical Consequences of FID–CLIP Disagreement in Low-Data Diffusion Model Fine-Tuning

This paper examines when the Fréchet Inception Distance (FID) and a text–image similarity score based on Contrastive Language–Image Pre-training (CLIP) disagree in the ranking of such strategies, and gives initial evidence that these patterns are not specific to one architecture.

Weijun Zhou, Cuilian Zhang, Li-Xiang Song · 0 citations

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