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Conference Papers Year : 2023

ANYRES: Generating High-Resolution visible-face images from Low-Resolution thermal-face images

Abstract

Fig. 1. Qualitative results of HiFaceGAN, SRGAN, Pix2Pix, AxialGAN and the proposed ANYRES on the ARL-VTF dataset. We decrease resolution in each row (re-scaled to 128×128). While previous methods are impaired to super resolve facial images for a given resolution by using one specific network for each resolution, our proposed ANYRES achieves a balance between realism and fidelity across resolutions with solely one unified network.
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Dates and versions

hal-04391831 , version 1 (12-01-2024)

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David Anghelone, Sarah Lannes, Antitza Dantcheva. ANYRES: Generating High-Resolution visible-face images from Low-Resolution thermal-face images. IEEE ICME 2023 - IEEE International Conference on Multimedia and Expo, Jul 2023, Brisbane (AU), Australia. ⟨10.1109/ICME55011.2023.00050⟩. ⟨hal-04391831⟩
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