Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching

Autor:	Bickel, Marc, Dubuis, Samuel, Gachoud, Sébastien
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	Anyone can take a photo, but not everybody has the ability to retouch their pictures and obtain result close to professional. Since it is not possible to ask experts to retouch thousands of pictures, we thought about teaching a piece of software how to reproduce the work of those said experts. This study aims to explore the possibility to use deep learning methods and more specifically, generative adversarial networks (GANs), to mimic artists' retouching and find which one of the studied models provides the best results. Comment: 15 pages, 34 figures https://github.com/MarcBickel/CS-413
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.02921 Zobrazit plný text záznamu View this record from Arxiv