Computer-generated pen-and-ink illustration
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Stylization and abstraction of photographs
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
Sparse matrix solvers on the GPU: conjugate gradients and multigrid
ACM SIGGRAPH 2003 Papers
Hierarchical mesh segmentation based on fitting primitives
The Visual Computer: International Journal of Computer Graphics
Simultaneous shape decomposition and skeletonization
Proceedings of the 2006 ACM symposium on Solid and physical modeling
Partial and approximate symmetry detection for 3D geometry
ACM SIGGRAPH 2006 Papers
Multi-level partition of unity implicits
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Model Composition from Interchangeable Components
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Consistent mesh partitioning and skeletonisation using the shape diameter function
The Visual Computer: International Journal of Computer Graphics
Automatic generation of tourist maps
ACM SIGGRAPH 2008 papers
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Skeletal Shape Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Technical Section: Consistent segmentation of 3D models
Computers and Graphics
Abstraction of 2D shapes in terms of parts
Proceedings of the 7th International Symposium on Non-Photorealistic Animation and Rendering
Abstraction of man-made shapes
ACM SIGGRAPH Asia 2009 papers
Analytic drawing of 3D scaffolds
ACM SIGGRAPH Asia 2009 papers
Hierarchical convex approximation of 3D shapes for fast region selection
SGP '08 Proceedings of the Symposium on Geometry Processing
Volumetric modeling with diffusion surfaces
ACM SIGGRAPH Asia 2010 papers
Style-content separation by anisotropic part scales
ACM SIGGRAPH Asia 2010 papers
Contour grouping and abstraction using simple part models
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Technical Section: Exoskeleton: Curve network abstraction for 3D shapes
Computers and Graphics
GlobFit: consistently fitting primitives by discovering global relations
ACM SIGGRAPH 2011 papers
Joint shape segmentation with linear programming
Proceedings of the 2011 SIGGRAPH Asia Conference
Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering
Proceedings of the 2011 SIGGRAPH Asia Conference
Slices: a shape-proxy based on planar sections
Proceedings of the 2011 SIGGRAPH Asia Conference
Conjoining Gestalt rules for abstraction of architectural drawings
Proceedings of the 2011 SIGGRAPH Asia Conference
Co-hierarchical analysis of shape structures
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Style and abstraction in portrait sketching
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
Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
Generating multi-style paper pop-up designs using 3D primitive fitting
SIGGRAPH Asia 2013 Technical Briefs
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We present a co-abstraction method that takes as input a collection of 3D objects, and produces a mutually consistent and individually identity-preserving abstraction of each object. In general, an abstraction is a simpler version of a shape that preserves its main characteristics. We hypothesize, however, that there is no single abstraction of an object. Instead, there is a variety of possible abstractions, and an admissible one can only be chosen conjointly with other objects' abstractions. To this end, we introduce a new approach that hierarchically generates a spectrum of abstractions for each model in a shape collection. Given the spectra, we compute the appropriate abstraction level for each model such that shape simplification and inter-set consistency are collectively maximized, while individual shape identities are preserved.