Geometric Hashing: An Overview
IEEE Computational Science & Engineering
Superfaces: Polygonal Mesh Simplification with Bounded Error
IEEE Computer Graphics and Applications
Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
An Approximate and Efficient Method for Optimal Rotation Alignment of 3D Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
Matching Relational Structures using the Edge-Association Graph
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Perturbation and pitch normalization as enhancements to speaker recognition
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A connection between partial symmetry and inverse procedural modeling
ACM SIGGRAPH 2010 papers
Efficient colored point set matching under noise
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
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
Interactive furniture layout using interior design guidelines
ACM SIGGRAPH 2011 papers
A probabilistic model for component-based shape synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC
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
Hierarchical semantic indexing for large scale image retrieval
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Sketch2Scene: sketch-based co-retrieval and co-placement of 3D models
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Reshuffle-based interior scene synthesis
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
Challenges and ideas in procedural modeling of interiors
UDMV '13 Proceedings of the Eurographics Workshop on Urban Data Modelling and Visualisation
| Hi-index | 0.00 |
We present a method for synthesizing 3D object arrangements from examples. Given a few user-provided examples, our system can synthesize a diverse set of plausible new scenes by learning from a larger scene database. We rely on three novel contributions. First, we introduce a probabilistic model for scenes based on Bayesian networks and Gaussian mixtures that can be trained from a small number of input examples. Second, we develop a clustering algorithm that groups objects occurring in a database of scenes according to their local scene neighborhoods. These contextual categories allow the synthesis process to treat a wider variety of objects as interchangeable. Third, we train our probabilistic model on a mix of user-provided examples and relevant scenes retrieved from the database. This mixed model learning process can be controlled to introduce additional variety into the synthesized scenes. We evaluate our algorithm through qualitative results and a perceptual study in which participants judged synthesized scenes to be highly plausible, as compared to hand-created scenes.