Measuring face reconstruction fidelity with AuraFace embedding cosine similarity
ostrisai · x · 2026-11-14
The author explains that their face reconstruction metric uses embedding similarity rather than pass/fail: it computes the cosine similarity between AuraFace embeddings of each face in the input and its reconstruction, averaged over the two faces. A score of 1.0 means identity is unchanged; higher is better.
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