[IPOL announce] new article: DeOldify: A Review and Implementation of an Automatic Colorization Method

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2022/403/

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

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.