Modeling by example

By Thomas A. Funkhouser, M. Kazhdan, Philip Shilane, P. Min, William Kiefer, Ayellet Tal, Szymon Rusinkiewicz, David P. Dobkin. 2004

628 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

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In Computational Mechanics

In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Interactive shape co-segmentation via label propagation (2014, background): “…f o Article history: Received 5 August 2013 Received in revised form 8 November 2013 Accepted 8 November 2013 Keywords: Shape co-segmentation Interactive segmentation Label propagation a b s t r a c t In this paper, we present an interactive approach for shape co-segmentation via label propagation.”
Garment modeling with a depth camera (2015, methodology): “Therefore, we adopt the principles of ‘assembly-based modeling’ [Funkhouser et al. 2004; Chaudhuri et al. 2011] for rapid and intuitive garment modeling.”
Mesh segmentation using feature point and core extraction (2005, methodology): “Cut refinement has been done by finding a minimum cut [15], by computing a constrained least cost path [8], or by using snakes [20].”
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning (2021, background): “Finally, parts are often commonly used for 3D generation and content editing purposes [11, 44, 46].”
3D ShapeNets: A deep representation for volumetric shapes (2014, methodology): “Most of the works [12, 7, 17] use an assembly-based approach to build deformable part-based models.”
SCORES (2018, background): “The main challenge is to deform and seal adjacent boundary loops of the parts to create smooth joins [Funkhouser et al. 2004; Sharf et al. 2006].”
Data-driven suggestions for creativity support in 3D modeling (2010, methodology): “edu appropriate tools, even novices can produce 3D models that match a predefined appearance [Funkhouser et al. 2004].”
3 D ShapeNets : A Deep Representation for Volumetric Shape Modeling (2015, methodology): “Most of the works [12, 7, 16] use an assembly-based approach to build deformable part-based models.”
Multi-chart generative surface modeling (2018, background): “Some works concentrated on composing new shapes from components; [14] suggested an interactive system where a user can assemble shapes from a segmented shape database.”