
Fast-DiM proposes a novel morphing method to reduce Network Function Evaluations (NFE) while maintaining performance in face recognition systems.


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fast-dim-towards-fast-diffusion-morphs-in-face-recognition-systems


Fast-DiM: Towards Fast Diffusion Morphs in Face Recognition Systems


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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.


generating-highly-effective-face-morphing-attacks-using-latent-semantic-disentanglement-in-stylegan


Generating Highly Effective Face Morphing Attacks using Latent Semantic Disentanglement in StyleGAN
