arXiv Computer Vision
Sep 1

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

arXiv:2605.22311v2 Announce Type: replace Abstract: Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as...

By Jose Edgar Hernandez Cancino Estrada, Mauro D\'iaz Lupone, \v{Z}iga Emer\v{s}i\v{c}, Vitomir \v{S}truc, Peter Peer, Darian Toma\v{s}evi\'c
arXiv Computer Vision
Aug 27

Learning Late, Guiding Early: Timestep-Decoupled Semantic Guidance for Fair Face Generation

The paper introduces Semantic Boundary Predictor (SBP), an inference‑time framework that improves demographic fairness in synthetic face generation by applying a single, one‑shot intervention during reverse denoising. SBP learns linear semantic boundaries from late‑stage latent representations and applies them only at the initial noisy latent, leaving the rest of the diffusion process unchanged. Experiments on CelebA‑HQ show significant reductions in fairness disparity—98% for gender, 95% for binary race, and 15% for four‑class race—while preserving image quality across demographic groups.

By Subir Kumar Parida, Rajbabu Velmurugan, Ketan Kotwal, R. S. Sengar, Swati Hiremath