A Short Analysis of BigColor for Image Colorization
Rosana García, Gregory Randall, Lara Raad
published
2024-05-24
reference
Rosana García, Gregory Randall, and Lara Raad, A Short Analysis of BigColor for Image Colorization, Image Processing On Line, 14 (2024), pp. 144–158. https://doi.org/10.5201/ipol.2024.542

Communicated by Pablo Musé
Demo edited by Lara Raad and Rosana García

Abstract

This work analyzes the BigColor method, a fully automatic colorization approach that aims to meet the challenge of providing realistic and vivid colorization for complex and diverse images in real-world scenarios. The method is a BigGAN-inspired encoder-generator network, using a spatial feature map, enabling single forward-pass colorization, supporting arbitrary input resolutions, and producing multimodal colorization results. We provide a short analysis of the method's results and highlight some limitations alongside its achievements.

This is an MLBriefs article, the source code has not been reviewed!
The original source code is available here (last checked 2024/05/23).

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