Abstract
Image super-resolution is typically explained as converting a low-resolution (LR) image into a high resolution (HR) output. However, previous approaches could be blurry and unrealistic, especially for regions with many details. This paper took advantage of Latent Space Exploration from PULSE and a facial liveliness detection algorithm to receive a more accurate and rational outcome. (Related code can be found on https://github.com/cisgroupb/PULSE with Anti Spoofing-Detection)
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