IMPOSE generates identity-consistent multi-pose contactless fingerprints via latent diffusion, Sauvola-guided translation, and 3D finger model projection, enabling SOTA cross-modal matching with EER reduced to 8.74% on UWA and 2.26% on PolyU CL2CB.
Fingerprint image synthesis based on statistical feature models,
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Identity-Consistent Multi-Pose Generation of Contactless Fingerprints
IMPOSE generates identity-consistent multi-pose contactless fingerprints via latent diffusion, Sauvola-guided translation, and 3D finger model projection, enabling SOTA cross-modal matching with EER reduced to 8.74% on UWA and 2.26% on PolyU CL2CB.