# DeepFlash: Turning a Flash Selfie into a Studio Portrait

arXiv: https://arxiv.org/abs/1901.04252 · HTML: https://mlsanity.com/paper/1901.04252/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Jan 2019.

## Built on by (most cited first, 4 of 4)

- [Total Selfie: Generating Full-Body Selfies](https://mlsanity.com/paper/2308.14740/) (2023)
- [Deep Portrait Delighting](https://mlsanity.com/paper/2203.12088/) (2022)
- [Computational Flash Photography through Intrinsics](https://mlsanity.com/paper/2306.06089/) (2023)
- [TreeSketchNet: From Sketch To 3D Tree Parameters Generation](https://mlsanity.com/paper/2207.12297/) (2022)

## Abstract (arXiv)

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 our method can amend defects introduced by a close-up camera flash, such as specular highlights, shadows, skin shine, and flattened images.