Academic Journal
Data‐guided Authoring of Procedural Models of Shapes.
| Τίτλος: | Data‐guided Authoring of Procedural Models of Shapes. |
|---|---|
| Συγγραφείς: | Hossain, Ishtiaque, Shen, I‐Chao, Igarashi, Takeo, van Kaick, Oliver |
| Πηγή: | Computer Graphics Forum; Oct2023, Vol. 42 Issue 7, p1-12, 12p, 6 Color Photographs, 2 Black and White Photographs, 1 Diagram, 1 Chart, 1 Graph |
| Περίληψη: | Procedural models enable the generation of a large amount of diverse shapes by varying the parameters of the model. However, writing a procedural model for replicating a collection of reference shapes is difficult, requiring much inspection of the original and replicated shapes during the development of the model. In this paper, we introduce a data‐guided method for aiding a programmer in creating a procedural model to replicate a collection of reference shapes. The user starts by writing an initial procedural model, and the system automatically predicts the model parameters for reference shapes, also grouping shapes by how well they are approximated by the current procedural model. The user can then update the procedural model based on the given feedback and iterate the process. Our system thus automates the tedious process of discovering the parameters that replicate reference shapes, allowing the programmer to focus on designing the high‐level rules that generate the shapes. We demonstrate through qualitative examples and a user study that our method is able to speed up the development time for creating procedural models of 2D and 3D man‐made shapes. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 174037797 RelevancyScore: 944 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 943.780639648438 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Data‐guided Authoring of Procedural Models of Shapes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hossain%2C+Ishtiaque%22">Hossain, Ishtiaque</searchLink><br /><searchLink fieldCode="AR" term="%22Shen%2C+I‐Chao%22">Shen, I‐Chao</searchLink><br /><searchLink fieldCode="AR" term="%22Igarashi%2C+Takeo%22">Igarashi, Takeo</searchLink><br /><searchLink fieldCode="AR" term="%22van+Kaick%2C+Oliver%22">van Kaick, Oliver</searchLink> – Name: TitleSource Label: Source Group: Src Data: Computer Graphics Forum; Oct2023, Vol. 42 Issue 7, p1-12, 12p, 6 Color Photographs, 2 Black and White Photographs, 1 Diagram, 1 Chart, 1 Graph – Name: Abstract Label: Abstract Group: Ab Data: Procedural models enable the generation of a large amount of diverse shapes by varying the parameters of the model. However, writing a procedural model for replicating a collection of reference shapes is difficult, requiring much inspection of the original and replicated shapes during the development of the model. In this paper, we introduce a data‐guided method for aiding a programmer in creating a procedural model to replicate a collection of reference shapes. The user starts by writing an initial procedural model, and the system automatically predicts the model parameters for reference shapes, also grouping shapes by how well they are approximated by the current procedural model. The user can then update the procedural model based on the given feedback and iterate the process. Our system thus automates the tedious process of discovering the parameters that replicate reference shapes, allowing the programmer to focus on designing the high‐level rules that generate the shapes. We demonstrate through qualitative examples and a user study that our method is able to speed up the development time for creating procedural models of 2D and 3D man‐made shapes. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=174037797 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cgf.14935 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Data‐guided Authoring of Procedural Models of Shapes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hossain, Ishtiaque – PersonEntity: Name: NameFull: Shen, I‐Chao – PersonEntity: Name: NameFull: Igarashi, Takeo – PersonEntity: Name: NameFull: van Kaick, Oliver IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01677055 Numbering: – Type: volume Value: 42 – Type: issue Value: 7 Titles: – TitleFull: Computer Graphics Forum Type: main |
| ResultId | 1 |