We introduce a novel algorithm that turns a flash selfie taken with a smartphone into a studio-like photograph with uniform lighting. Our method uses a convolutional neural network trained on a set of pairs of photographs acquired in a controlled environment. For each pair, we have 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 our method can amend lighting artifacts introduced by a close-up camera flash, such as specular highlights, shadows, and skin shine.

中文翻译：

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将智能手机自拍变成工作室肖像

我们引入了一种新颖的算法，可以将智能手机拍摄的闪光灯自拍变成具有均匀照明的工作室般的照片。我们的方法使用在受控环境中获取的一组照片上训练的卷积神经网络。对于每一对，我们都有一张使用相机闪光灯拍摄的拍摄对象的脸部照片，以及使用摄影棚照明设置照亮的相同姿势的另一张相同的拍摄对象。我们展示了我们的方法如何修正由特写相机闪光灯引入的照明伪影，例如镜面高光、阴影和皮肤光泽。