Generated a NIR images and b VIS images on our WHU VIS–NIR database.

Download scientific diagram | Generated a NIR images and b VIS images on our WHU VIS–NIR database. (From left to right: input VIS(NIR) images, true NIR(VIS) images from the same subject, images generated by FFE-CycleGAN, CycleGAN (Zhu et al., 2017), Pix2Pix (Isola et al., 2017) and DVG-Face (Fu et al., 2022)) from publication: Facial feature embedded CycleGAN for VIS–NIR translation | VIS-NIR face recognition remains a challenging task due to the distinction between spectral components of two modalities and insufficient paired training data. Inspired by the CycleGAN, this paper presents a method aiming to translate VIS face images into fake NIR images | Face Recognition, NIR and Proposals | ResearchGate, the professional network for scientists.

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