CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks.
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| Title: | CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks. |
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| Authors: | May, C.1, Aliaga, D.1 |
| Source: | Computer Graphics Forum; May2023, Vol. 42 Issue 2, p213-224, 12p, 7 Color Photographs, 4 Diagrams, 3 Charts, 1 Graph |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 163874353 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163874353 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cgf.14755 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 213 Titles: – TitleFull: CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: May, C. – PersonEntity: Name: NameFull: Aliaga, D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01677055 Numbering: – Type: volume Value: 42 – Type: issue Value: 2 Titles: – TitleFull: Computer Graphics Forum Type: main |
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