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Anime Sketch Colourization Using Enhanced Pix2pix GAN
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-6158-3543
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0003-1343-1742
Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia.
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2023 (English)In: Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings Part I / [ed] Huimin Lu; Michael Blumenstein; Sung-Bae Cho; Cheng-Lin Liu; Yasushi Yagi; Tohru Kamiya, Springer Nature, 2023, Vol. 1, p. 148-164Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 1, p. 148-164
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 14406
Keywords [en]
colorization, Conditional Generative Adversarial Network, manga, pix2pix
National Category
Computer graphics and computer vision
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-103386DOI: 10.1007/978-3-031-47634-1_12Scopus ID: 2-s2.0-85177235674OAI: oai:DiVA.org:ltu-103386DiVA, id: diva2:1822328
Conference
7th Asian Conference on Pattern Recognition (ACPR 2023), Kitakyushu, Japan, November 5-8, 2023
Note

ISBN for host publication: 978-3-031-47633-4, 978-3-031-47634-1

Available from: 2023-12-22 Created: 2023-12-22 Last updated: 2025-02-07Bibliographically approved

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Mokayed, HamamAlkhaled, Lama

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