Fast-DiM proposes a novel morphing method to reduce Network Function Evaluations (NFE) while maintaining performance in face recognition systems.
Diffusion Morphs (DiM) can be optimized for faster creation with reduced Network Function Evaluations (NFE).
The proposed MLSD-GAN method can generate high-quality face morphing attacks that pose a significant threat to deep learning-based face recognition systems.