T2v-ddpm: Thermal to visible face translation using denoising diffusion probabilistic models
Modern-day surveillance systems perform person recognition using deep learning-based
face verification networks. Most state-of-the-art facial verification systems are trained using
visible spectrum images. But, acquiring images in the visible spectrum is impractical in
scenarios of low-light and nighttime conditions, and often images are captured in an
alternate domain such as the thermal infrared domain. Facial verification in thermal images
is often performed after retrieving the corresponding visible domain images. This is a well …
face verification networks. Most state-of-the-art facial verification systems are trained using
visible spectrum images. But, acquiring images in the visible spectrum is impractical in
scenarios of low-light and nighttime conditions, and often images are captured in an
alternate domain such as the thermal infrared domain. Facial verification in thermal images
is often performed after retrieving the corresponding visible domain images. This is a well …
T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
N Gopalakrishnan Nair, VM Patel - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Modern-day surveillance systems perform person recognition using deep learning-based
face verification networks. Most state-of-the-art facial verification systems are trained using
visible spectrum images. But, acquiring images in the visible spectrum is impractical in
scenarios of low-light and nighttime conditions, and often images are captured in an
alternate domain such as the thermal infrared domain. Facial verification in thermal images
is often performed after retrieving the corresponding visible domain images. This is a well …
face verification networks. Most state-of-the-art facial verification systems are trained using
visible spectrum images. But, acquiring images in the visible spectrum is impractical in
scenarios of low-light and nighttime conditions, and often images are captured in an
alternate domain such as the thermal infrared domain. Facial verification in thermal images
is often performed after retrieving the corresponding visible domain images. This is a well …
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