Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Teddy: a sketching interface for 3D freeform design
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
WordsEye: an automatic text-to-scene conversion system
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGGRAPH 2004 Papers
Training a Support Vector Machine in the Primal
Neural Computation
Programming by a sample: rapidly creating web applications with d.mix
Proceedings of the 20th annual ACM symposium on User interface software and technology
Design as exploration: creating interface alternatives through parallel authoring and runtime tuning
Proceedings of the 21st annual ACM symposium on User interface software and technology
Technical Section: Sketch-based modeling: A survey
Computers and Graphics
Exploratory modeling with collaborative design spaces
ACM SIGGRAPH Asia 2009 papers
Designing with interactive example galleries
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
Automatic attribute discovery and characterization from noisy web data
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Probabilistic reasoning for assembly-based 3D modeling
ACM SIGGRAPH 2011 papers
Bricolage: example-based retargeting for web design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A probabilistic model for component-based shape synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Interactively building a discriminative vocabulary of nameable attributes
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Empirical risk minimization for support vector classifiers
IEEE Transactions on Neural Networks
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Learning design patterns with bayesian grammar induction
Proceedings of the 25th annual ACM symposium on User interface software and technology
Attribute learning in large-scale datasets
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Learning part-based templates from large collections of 3D shapes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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We present AttribIt, an approach for people to create visual content using relative semantic attributes expressed in linguistic terms. During an off-line processing step, AttribIt learns semantic attributes for design components that reflect the high-level intent people may have for creating content in a domain (e.g. adjectives such as "dangerous", "scary" or "strong") and ranks them according to the strength of each learned attribute. Then, during an interactive design session, a person can explore different combinations of visual components using commands based on relative attributes (e.g. "make this part more dangerous"). Novel designs are assembled in real-time as the strengths of selected attributes are varied, enabling rapid, in-situ exploration of candidate designs. We applied this approach to 3D modeling and web design. Experiments suggest this interface is an effective alternative for novices performing tasks with high-level design goals.