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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Photo by Oliver Hihn on Unsplash

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.