Model Composition from Interchangeable Components
By Vladislav Kraevoy, Dan Julius, Alla Sheffer. 2007
133 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Jiajun Wu
- Josh Tenenbaum
- Zhoutong Zhang
- William T. Freeman
- Chengkai Zhang
- Xiuming Zhang
- Xingyuan Sun
- Tianfan Xue
In Computer Graphics and Computer-Aided Design
Citations in the corpus
- Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling (2018, methodology): “In contrast, metrics like shortest distance and geodesic distance are more commonly used than IoU for matching meshes in graphics [31, 25].”
- Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization (2013, background): “To tackle the challenge in individual shape segmentation, consistently segmenting a set of shapes from the same family into semantic parts, or co-segmentation, has received increased attention [13,4,14,7].”
- Data-driven suggestions for creativity support in 3D modeling (2010, unknown): “The Shuffler system [Kraevoy et al. 2007] allows the user to load a hand-selected set of compatible 3D models and quickly interchange similar parts between the models.”
- Joint shape segmentation with linear programming (2011, unknown): “A related line of work in shape segmentation aims to produce consistent segmentations of multiple shapes, for applications such as part-based 3D modeling [Kraevoy et al. 2007; Golovinskiy and Funkhouser 2009; Shapira et al. 2010; Xu et al. 2010].”