Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A revolution: belief propagation in graphs with cycles
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
ACM SIGGRAPH 2004 Papers
Interpolating and approximating implicit surfaces from polygon soup
ACM SIGGRAPH 2004 Papers
A sketch-based interface for detail-preserving mesh editing
ACM SIGGRAPH 2005 Papers
A planar-reflective symmetry transform for 3D shapes
ACM SIGGRAPH 2006 Papers
SnapPaste: an interactive technique for easy mesh composition
The Visual Computer: International Journal of Computer Graphics
Sharing Visual Features for Multiclass and Multiview Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Magic canvas: interactive design of a 3-D scene prototype from freehand sketches
GI '07 Proceedings of Graphics Interface 2007
Folding meshes: hierarchical mesh segmentation based on planar symmetry
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
Model Composition from Interchangeable Components
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Technical Section: Consistent segmentation of 3D models
Computers and Graphics
Exploratory modeling with collaborative design spaces
ACM SIGGRAPH Asia 2009 papers
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
Contextual Part Analogies in 3D Objects
International Journal of Computer Vision
Computer-generated residential building layouts
ACM SIGGRAPH Asia 2010 papers
Context-based search for 3D models
ACM SIGGRAPH Asia 2010 papers
Data-driven suggestions for creativity support in 3D modeling
ACM SIGGRAPH Asia 2010 papers
Sketch-based search and composition of 3D models
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Interactive furniture layout using interior design guidelines
ACM SIGGRAPH 2011 papers
Joint shape segmentation with linear programming
Proceedings of the 2011 SIGGRAPH Asia Conference
A probabilistic model for component-based shape synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Fit and diverse: set evolution for inspiring 3D shape galleries
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Guided exploration of physically valid shapes for furniture design
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Exploring Shape Variations by 3D-Model Decomposition and Part-based Recombination
Computer Graphics Forum
DressUp!: outfit synthesis through automatic optimization
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Example-based synthesis of 3D object arrangements
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Material memex: automatic material suggestions for 3D objects
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
An optimization approach for extracting and encoding consistent maps in a shape collection
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Field-guided registration for feature-conforming shape composition
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Structure recovery by part assembly
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
RigMesh: automatic rigging for part-based shape modeling and deformation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Semi-supervised Mesh Segmentation and Labeling
Computer Graphics Forum
Co-hierarchical analysis of shape structures
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
MeshGit: diffing and merging meshes for polygonal modeling
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Sketch-based generation and editing of quad meshes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Sketch2Scene: sketch-based co-retrieval and co-placement of 3D models
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Putting holes in holey geometry: topology change for arbitrary surfaces
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Graspable parts recognition in man-made 3d shapes
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Proceedings of the 6th International Symposium on Visual Information Communication and Interaction
Attribit: content creation with semantic attributes
Proceedings of the 26th annual ACM symposium on User interface software and technology
Co-segmentation of 3D shapes via multi-view spectral clustering
The Visual Computer: International Journal of Computer Graphics
SMI 2013: Sculpting multi-dimensional nested structures
Computers and Graphics
ACM Transactions on Graphics (TOG)
Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
CAD/Graphics 2013: Interactive shape co-segmentation via label propagation
Computers and Graphics
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Assembly-based modeling is a promising approach to broadening the accessibility of 3D modeling. In assembly-based modeling, new models are assembled from shape components extracted from a database. A key challenge in assembly-based modeling is the identification of relevant components to be presented to the user. In this paper, we introduce a probabilistic reasoning approach to this problem. Given a repository of shapes, our approach learns a probabilistic graphical model that encodes semantic and geometric relationships among shape components. The probabilistic model is used to present components that are semantically and stylistically compatible with the 3D model that is being assembled. Our experiments indicate that the probabilistic model increases the relevance of presented components.