VICTORIAN400: COLORIZING VICTORIAN ILLUSTRATIONS

被引:1
|
作者
Kim, Hoyeol [1 ]
机构
[1] Texas A&M Univ, College Stn, TX 77843 USA
关键词
Victorian400; colorization; Victorian illustration; pix2pix; cGAN; Charles Dickens;
D O I
10.3366/ijhac.2021.0269
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This article introduces the Victorian400 dataset, created to colorize black-and-white illustrations from nineteenth-century British novels with deep learning models. The Victorian400 dataset is a set of colour illustrations painted using nineteenth-century palettes which have been shared as open sources. This article examines the process of creating and curating the Victorian400 dataset and the validity of the Victorian400 dataset by looking into the results of the test set with the trained set based on conditional generative adversarial networks.
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页码:186 / 202
页数:17
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