DeOldify: A Review and Implementation of an Automatic Colorization Method
Antoine Salmona, Lucía Bouza, Julie Delon
published
2022-09-05
reference
Antoine Salmona, Lucía Bouza, and Julie Delon, DeOldify: A Review and Implementation of an Automatic Colorization Method, Image Processing On Line, 12 (2022), pp. 347–368. https://doi.org/10.5201/ipol.2022.403

Communicated by Gregory Randall
Demo edited by Lucía Bouza

Abstract

DeOldify is a recent automatic colorization method based on Convolutional Neural Networks which yields impressive results. The method was initially created by Jason Antic with the support of the Californian start-up Fast.ai and thus does not come from the academic research world. The goal of this paper is twofold. First we propose a rigorous mathematical presentation of the method along with a critical analysis of its different steps. Second, we provide an open-source implementation of a simplified but effective version of the approach, based on Pytorch and without dependence on the Fast.ai framework.

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