A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="https://arxiv.org/pdf/1901.04252v1.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<span class="release-stage" >pre-print</span>
We present a method for turning a flash selfie taken with a smartphone into a photograph as if it was taken in a studio setting with uniform lighting. Our method uses a convolutional neural network trained on a set of pairs of photographs acquired in an ad-hoc acquisition campaign. Each pair consists of one photograph of a subject's face taken with the camera flash enabled and another one of the same subject in the same pose illuminated using a photographic studio-lighting setup. We show how<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.04252v1">arXiv:1901.04252v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/duajo73lujhonmcuqkefnlmrdq">fatcat:duajo73lujhonmcuqkefnlmrdq</a> </span>
more »... method can amend defects introduced by a close-up camera flash, such as specular highlights, shadows, skin shine, and flattened images.
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