Color-UNet++: A resolution for colorization of grayscale images using improved UNet
Color-UNet++: A resolution for colorization of grayscale images using improved UNet
About this item
Full title
Author / Creator
Di, Yide , Zhu, Xiaoke , Jin, Xin , Dou, Qiwei , Zhou, Wei and Duan, Qing
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Colorization is the computer-assisted application of color to a gray scale image, which presents two problems to modern deep learning-based approaches. One is to provide colorization models with both high expressibility and strong learning ability, as current models have difficulty both excelling at coloring and being easy to train. The other is to...
Alternative Titles
Full title
Color-UNet++: A resolution for colorization of grayscale images using improved UNet
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2604658615
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2604658615
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-021-10830-2
