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    Local Editing of Procedural Models

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    Type
    Article
    Authors
    Lipp, M.
    Specht, M.
    Lau, C.
    Wonka, Peter cc
    Müller, P.
    KAUST Department
    Computer Science
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Visual Computing Center
    Visual Computing Center (VCC)
    KAUST Grant Number
    URF/1/3426-01-01
    Date
    2019-06-07
    Online Publication Date
    2019-06-07
    Print Publication Date
    2019-05
    Embargo End Date
    2020-06-07
    Permanent link to this record
    http://hdl.handle.net/10754/656021
    
    Metadata
    Show full item record
    Abstract
    Procedural modeling is used across many industries for rapid 3D content creation. However, professional procedural tools often lack artistic control, requiring manual edits on baked results, diminishing the advantages of a procedural modeling pipeline. Previous approaches to enable local artistic control require special annotations of the procedural system and manual exploration of potential edit locations. Therefore, we propose a novel approach to discover meaningful and non-redundant good edit locations (GELs). We introduce a bottom-up algorithm for finding GELs directly from the attributes in procedural models, without special annotations. To make attribute edits at GELs persistent, we analyze their local spatial context and construct a meta-locator to uniquely specify their structure. Meta-locators are calculated independently per attribute, making them robust against changes in the procedural system. Functions on meta-locators enable intuitive and robust multi-selections. Finally, we introduce an algorithm to transfer meta-locators to a different procedural model. We show that our approach greatly simplifies the exploration of the local edit space, and we demonstrate its usefulness in a user study and multiple real-world examples.
    Citation
    Lipp, M., Specht, M., Lau, C., Wonka, P., & Müller, P. (2019). Local Editing of Procedural Models. Computer Graphics Forum, 38(2), 13–25. doi:10.1111/cgf.13615
    Sponsors
    We thank Matthias Buehler, Cyrill Oberhaensli and Yulia Leonova for assessing the methods presented in this paper. Special thanks go to Yulia for providing the images for Figure 7 (Context: Her work in the ‘Ideal Spaces Working Group’ for the Architecture Biennale 2018 exhibit in Venice: ‘Artificial Natures‘). We thank Stefan Lienhard for reviewing and providing suggestions for improving this paper. This work was supported in part by the KAUST Office of Sponsored Research (OSR) under Award URF/1/3426-01-01.
    Publisher
    Wiley
    Journal
    Computer Graphics Forum
    DOI
    10.1111/cgf.13615
    Additional Links
    https://diglib.eg.org/handle/10.1111/cgf13615
    ae974a485f413a2113503eed53cd6c53
    10.1111/cgf.13615
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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