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Procedural & Interactive Modeling
Wednesday, 10 August 3:45 pm - 5:35 pm | East Building, Ballroom C
Session Chair: Niloy Mitra, King Abdullah University of Science and Technology
Converting 3D Furniture Models to Fabricatable Parts and Connectors
A grammar-based framework for converting 3D furniture models to separate parts and connectors that can be physically built, which allows nonprofessional users to create products that they can use themselves by "printing" 3D furniture models.
Manfred Lau
Japan Science and Technology Agency
Akira Ohgawara
The University of Tokyo and Japan Science and Technology Agency
Jun Mitani
University of Tsukuba and Japan Science and Technology Agency
Takeo Igarashi
The University of Tokyo and Japan Science and Technology Agency
Make it Home: Automatic Optimization of Furniture Arrangement
This paper introduces a framework for automatic generation of furniture arrangement, considering human factors such as accessibility, visibility, pathways, etc. The framework generates arrangements for a variety of scenarios.
Lap-Fai Yu
University of California, Los Angeles
Sai-Kit Yeung
University of California, Los Angeles
Chi-Keung Tang
Hong Kong University of Science and Technology
Demetri Terzopoulos
University of California, Los Angeles
Tony F. Chan
Hong Kong University of Science and Technology
Stanley Osher
University of California, Los Angeles
Interactive Furniture Layout Using Interior Design Guidelines
An interactive furniture layout system that assists users by suggesting furniture arrangements based on interior design guidelines. Results demonstrate that the suggestion-generation functionality measurably increases the quality of furniture arrangements produced by participants with no prior training in interior design.
Paul Merrell
Stanford University
Eric Schkufza
Stanford University
Zeyang Li
Stanford University
Maneesh Agrawala
University of California, Berkeley
Vladlen Koltun
Stanford University
Interactive Architectural Modeling With Procedural Extrusions
Procedural extrusion is a new, easy-to-use tool that combines arbitrary plans and profiles to create a wide range of architectural forms. This paper demonstrates the technique's application to procedural modeling of cityscapes.
Tom Kelly
University of Glasgow
Peter Wonka
Arizona State University
Metropolis Procedural Modeling
This paper brings artistic control to grammar-based procedural models via Markov-chain Monte Carlo inference. Given a grammar and a high-level specification, the algorithm computes a production from the grammar that conforms to the specification. The method is demonstrated on models of trees, cities, buildings, and Mondrian paintings.
Jerry Talton
Stanford University
Yu Lou
Stanford University
Steve Lesser
Stanford University
Jared Duke
Stanford University
Radomir Mech
Adobe Systems Incorporated
Vladlen Koltun
Stanford University
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