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In this paper we analyze unorganized collections of 3D models to facilitate explorative shape synthesis by providing high-level feedback of possible synthesizable shapes. ... The user can then use the parameterization to explore the existing models by clicking in different areas or by selecting groups to zoom on specific shape clusters. ... We thank Bongjin Koo and Yanir Kleiman for their comments, and James Hennessey for the video voiceover. This project was supported in part by a Marie Curie CIG and ERC Starting Grant SmartGeometry. ...doi:10.1111/cgf.12310 fatcat:7yheoh6c7nftlmmss6byysih4i
, modeling and exploration, as well as scene analysis and synthesis. ... In contrast to traditional approaches that process shapes in isolation of each other, data-driven methods aggregate information from 3D model collections to improve the analysis, modeling and editing of ... Acknowledgements We thank Zimo Li for proofreading this survey and the anonymous reviewers for helpful suggestions. Kalogerakis gratefully acknowledges support from NSF (CHS-1422441). ...doi:10.1145/2988458.2988473 dblp:conf/siggraph/0004KHMK16 fatcat:tefja76ijnclzmpux2iaj45zgu
This thesis introduces a framework for this type of shape synthesis that consists of four stages, incorporating a new way for parameterization and exploration of shape collections. ... The advantages of this shape synthesis method are that it takes less time than traditional modeling approaches and that it can be used even by inexperienced users. ... Acknowledgements I would like to thank my advisors Przemyslaw Musialski and Michael Wimmer whose support made this Master Thesis possible. ...doi:10.34726/hss.2016.28500 fatcat:lzmoro5slvbdddzod2gst2z7ri