Researchers introduced curvature-adaptive tubular correction (CAT), a training-free plugin that regulates gradient-guided diffusion sampling by decomposing the guidance gradient into normal and tangen…
Researchers introduced renormalization group flow matching (RGFM), a generative framework that structures data generation across spatial scales using an exact renormalization group flow as the probabi…
Researchers have developed DiffAttack, a new adversarial attack framework that uses latent diffusion models to generate imperceptible adversarial faces capable of fooling deep face recognition systems…
Researchers introduce Diff-ID, a diffusion-based framework that enforces identity consistency in facial image generation while delivering photorealistic quality, using a custom 210K image dataset and …