3 accepted papers
Recent advances in 3D Gaussian Splatting have shown remarkable potential for novel view synthesis. However, most existing large-scale scene reconstruction methods rely on the divide-and-conquer paradigm, which often leads to the loss of global scene information and requires complex parameter tuning…
Despite the great progress of deep learning and generative adversarial networks, face frontalization (i.e., profile-to-frontal synthesis) and profile (i.e., non-frontal) face recognition still remain challenging tasks under uncontrolled environments. In this study, we propose three efficient practic…
Visible and near-infrared (VIS-NIR) face recognition remains a challenging task due to distinctions between spectral components of two modalities. Inspired by the CycleGAN, this paper presents a method aiming to translate between VIS and NIR face images. To achieve this, we propose a new facial feat…