 Face Frontalization is a generative computer vision task in which the model takes a photo of a person's head taken at an angle between -90 and 90 degrees, and produces an image of what that person's frontal (i.e. 0 degree) view of the face might look like. The present model was first released in [this repository](https://github.com/scaleway/frontalization) by [Scaleway](https://www.scaleway.com/), a European cloud provider originating from France. It has been previously discussed in a [Scaleway blog post](https://blog.scaleway.com/gpu-instances-using-deep-learning-to-obtain-frontal-rendering-of-facial-images/) and presented at [the DataXDay conference in Paris](https://www.youtube.com/watch?v=aL7rhJz8mAI). The model's GAN architecture was inspired by [the work of R. Huang et al](https://arxiv.org/abs/1704.04086).  