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Idiap Research Institute Rue Marconi, University of Lausanne (UNIL)
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Diffusion-generated thermal faces can effectively break the multi-modal data bottleneck in biometrics, outperforming models trained on scarce real pairs without requiring costly image translation at inference time.
Real-world conditions expose critical performance gaps in face recognition systems, with state-of-the-art models struggling under the challenges of motion blur and occlusion.
