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dc.contributor.authorAverkiou, Melinosen_US
dc.contributor.authorKim, Vladimir G.en_US
dc.contributor.authorZheng, Youyien_US
dc.contributor.authorMitra, Niloy J.en_US
dc.contributor.editorB. Levy and J. Kautzen_US
dc.date.accessioned2015-03-03T12:26:41Z
dc.date.available2015-03-03T12:26:41Z
dc.date.issued2014en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12310en_US
dc.description.abstractRecent advances in modeling tools enable non-expert users to synthesize novel shapes by assembling parts extracted from model databases. A major challenge for these tools is to provide users with relevant parts, which is especially difficult for large repositories with significant geometric variations. In this paper we analyze unorganized collections of 3D models to facilitate explorative shape synthesis by providing high-level feedback of possible synthesizable shapes. By jointly analyzing arrangements and shapes of parts across models, we hierarchically embed the models into low-dimensional spaces. 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. More importantly, any point in the embedded space can be lifted to an arrangement of parts to provide an abstracted view of possible shape variations. The abstraction can further be realized by appropriately deforming parts from neighboring models to produce synthesized geometry. Our experiments show that users can rapidly generate plausible and diverse shapes using our system, which also performs favorably with respect to previous modeling tools.en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleShapeSynth: Parameterizing Model Collections for Coupled Shape Exploration and Synthesisen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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