Visual
Computing

Learning Shape Placements by Example

Authors

Affiliations

Publication

ACM Transactions on Graphics (Siggraph 2015)

Abstract

We present a method to learn and propagate shape placements in 2D polygonal scenes from a few examples provided by a user. The placement of a shape is modeled as an oriented bounding box. Simple geometric relationships between this bounding box and nearby scene polygons define a feature set for the placement. The feature sets of all example placements are then used to learn a probabilistic model over all possible placements and scenes. With this model, we can generate a new set of placements with similar geometric relationships in any given scene. We introduce extensions that enable propagation and generation of shapes in 3D scenes, as well as the application of a learned modeling session to large scenes without additional user interaction. These concepts allow us to generate complex scenes with thousands of objects with relatively little user interaction.

Resources

Citation

@article{guerrero-2015-lsp,
  title =      "Learning Shape Placements by Example",
  author =     "Paul Guerrero and Stefan Jeschke and Michael Wimmer and Peter Wonka",
  year =       "2015",
  pages =      "1--13",
  month =      aug,
  event =      "ACM SIGGRAPH 2015",
  journal =    "ACM Transactions on Graphics",
  location =   "Los Angeles, CA",
  keywords =   "complex model generation, modeling by example",
}

image: LSPbE.jpg title: Learning Shape Placements by Example

grp: wojtan

publication: ACM Trans. Graph. 34, 4 (SIGGRAPH 2015 Papers) date: 2015-08-01 project: https://pub.ista.ac.at/group_wojtan/projects/2015_Guerrero_LSPBE/guerrero-2015-lsp-paper.pdf paper: http://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper.pdf

abstract: | We present a method to learn and propagate shape placements in 2D polygonal scenes from a few examples provided by a user. The placement of a shape is modeled as an oriented bounding box. Simple geometric relationships between this bounding box and nearby scene polygons define a feature set for the placement. The feature sets of all example placements are then used to learn a probabilistic model over all possible placements and scenes. With this model we can generate a new set of placements with similar geometric relationships in any given scene. We introduce extensions that enable propagation and generation of shapes in 3D scenes, as well as the application of a learned modeling session to large scenes without additional user interaction. These concepts allow us to generate complex scenes with thousands of objects with relatively little user interaction.

bibtex: | @article{guerrero-2015-lsp, title = “Learning Shape Placements by Example”, author = “Paul Guerrero and Stefan Jeschke and Michael Wimmer and Peter Wonka”, year = “2015”, pages = “1–13”, month = aug, event = “ACM SIGGRAPH 2015”, journal = “ACM Transactions on Graphics”, location = “Los Angeles, CA”, keywords = “complex model generation, modeling by example”, } —