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Continual few-shot patch-based learning for anime-style colorization

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Bibliographic Details
Published in:Computational Visual Media
Format: Online Article RSS Article
Published: 2024
Subjects:
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container_title Computational Visual Media
description
discipline_display Instruments Measurement and Sensors
discipline_facet Instruments Measurement and Sensors
format Online Article
RSS Article
genre Journal Article
id rss_article:68054
institution FRELIP
journal_source_facet Computational Visual Media
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle Continual few-shot patch-based learning for anime-style colorization
Instruments Measurement and Sensors
General
Instruments Measurement and Sensors
sub_discipline_display General
sub_discipline_facet General
subject_display Instruments Measurement and Sensors
General
Instruments Measurement and Sensors
Instruments Measurement and Sensors
General
Instruments Measurement and Sensors
subject_facet Instruments Measurement and Sensors
General
Instruments Measurement and Sensors
title Continual few-shot patch-based learning for anime-style colorization
title_auth Continual few-shot patch-based learning for anime-style colorization
title_full Continual few-shot patch-based learning for anime-style colorization
title_fullStr Continual few-shot patch-based learning for anime-style colorization
title_full_unstemmed Continual few-shot patch-based learning for anime-style colorization
title_short Continual few-shot patch-based learning for anime-style colorization
title_sort continual few-shot patch-based learning for anime-style colorization
topic Instruments Measurement and Sensors
General
Instruments Measurement and Sensors
url https://link.springer.com/article/10.1007/s41095-024-0414-4