Toward a psychophysically-based light reflection model for image synthesis
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Illumination for computer generated pictures
Communications of the ACM
Contextual Priming for Object Detection
International Journal of Computer Vision
ACM Transactions on Graphics (TOG)
Interactive editing and modeling of bidirectional texture functions
ACM SIGGRAPH 2007 papers
AppWand: editing measured materials using appearance-driven optimization
ACM SIGGRAPH 2007 papers
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
Toward evaluating material design interface paradigms for novice users
ACM SIGGRAPH 2010 papers
By-example synthesis of architectural textures
ACM SIGGRAPH 2010 papers
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Data-driven image color theme enhancement
ACM SIGGRAPH Asia 2010 papers
Context-based search for 3D models
ACM SIGGRAPH Asia 2010 papers
ShadowDraw: real-time user guidance for freehand drawing
ACM SIGGRAPH 2011 papers
Characterizing structural relationships in scenes using graph kernels
ACM SIGGRAPH 2011 papers
Probabilistic reasoning for assembly-based 3D modeling
ACM SIGGRAPH 2011 papers
Make it home: automatic optimization of furniture arrangement
ACM SIGGRAPH 2011 papers
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Texture transfer using geometry correlation
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Image-driven navigation of analytical BRDF models
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
PatchNet: a patch-based image representation for interactive library-driven image editing
ACM Transactions on Graphics (TOG)
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The material found on 3D objects and their parts in our everyday surroundings is highly correlated with the geometric shape of the parts and their relation to other parts of the same object. This work proposes to model this context-dependent correlation by learning it from a database containing several hundreds of objects and their materials. Given a part-based 3D object without materials, the learned model can be used to fully automatically assign plausible material parameters, including diffuse color, specularity, gloss, and transparency. Further, we propose a user interface that provides material suggestions. This user-interface can be used, for example, to refine the automatic suggestion. Once a refinement has been made, the model incorporates this information, and the automatic assignment is incrementally improved. Results are given for objects with different numbers of parts and with different topological complexity. A user study validates that our method significantly simplifies and accelerates the material assignment task compared to other approaches.