CRPGAN: Learning image-to-image translation of two unpaired images by cross-attention mechanism and...
CRPGAN: Learning image-to-image translation of two unpaired images by cross-attention mechanism and parallelization strategy
About this item
Full title
Author / Creator
Feng, Long , Geng, Guohua , Li, Qihang , Jiang, Yi , Li, Zhan and Li, Kang
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Unsupervised image-to-image translation (UI2I) tasks aim to find a mapping between the source and the target domains from unpaired training data. Previous methods can not effectively capture the differences between the source and the target domain on different scales and often leads to poor quality of the generated images, noise, distortion, and ot...
Alternative Titles
Full title
CRPGAN: Learning image-to-image translation of two unpaired images by cross-attention mechanism and parallelization strategy
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_plos_journals_2761521792
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2761521792
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0280073
