Stroke2Font: A Hierarchical Vector Model with AI-Driven Optimization for Chinese Font Generation.
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| Title: | Stroke2Font: A Hierarchical Vector Model with AI-Driven Optimization for Chinese Font Generation. |
|---|---|
| Authors: | Li, Qing-Sheng1,2,3 (AUTHOR), Bian, Yu-Lin2,4 (AUTHOR), Chai, Zhen-Hui3,4 (AUTHOR) |
| Source: | Algorithms. Mar2026, Vol. 19 Issue 3, p231. 34p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192591320 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Stroke2Font: A Hierarchical Vector Model with AI-Driven Optimization for Chinese Font Generation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Qing-Sheng%22">Li, Qing-Sheng</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bian%2C+Yu-Lin%22">Bian, Yu-Lin</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chai%2C+Zhen-Hui%22">Chai, Zhen-Hui</searchLink><relatesTo>3,4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Mar2026, Vol. 19 Issue 3, p231. 34p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192591320 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/a19030231 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 231 Titles: – TitleFull: Stroke2Font: A Hierarchical Vector Model with AI-Driven Optimization for Chinese Font Generation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Qing-Sheng – PersonEntity: Name: NameFull: Bian, Yu-Lin – PersonEntity: Name: NameFull: Chai, Zhen-Hui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19994893 Numbering: – Type: volume Value: 19 – Type: issue Value: 3 Titles: – TitleFull: Algorithms Type: main |
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