Restore faces blurred by air turbulence with prior knowledge from GAN network
Restore faces blurred by air turbulence with prior knowledge from GAN network
LTT-GAN: Looking Through Turbulence by Inverting GANs
arXiv paper abstract https://arxiv.org/abs/2112.02379
arXiv PDF paper https://arxiv.org/pdf/2112.02379.pdf
Project page https://kfmei.page/LTT-GAN
In ... long-range imaging, ... a person ... in ... imagery is often degraded by atmospheric turbulence.
However, restoring such degraded images for face verification is difficult since ... images ... geometrically distorted and blurry.
... propose the first turbulence mitigation method that makes use of visual priors encapsulated by a well-trained GAN.
Based on the visual priors, ... preserve the identity of restored images on a spatial periodic contextual distance.
... distance can keep the realism of restored images from the GAN while considering the identity difference at the network learning.
... method significantly outperforms prior art in both the visual quality and face verification accuracy of restored results.
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