Name
Abstract | ||
|---|---|---|
We propose a method that generates stylized building models from examples Figure [We use a n]. Our method only requires minimal user input to capture the appearance of a Manhattan world MW building, and can automatically retarget the captured 'look and feel' to new models. The key contribution is a novel representation, namely the 'style sheet', that is captured independently from a building's structure. It summarizes characteristic shape and texture patterns on the building. In the retargeting stage, a style sheet is used to decorate new buildings of potentially different structures. Consistent face groups are proposed to capture complex texture patterns from the example model and to preserve the patterns in the retarget models. We will demonstrate how to learn such style sheets from different MW buildings and the results of using them to generate novel models. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1111/cgf.12251 | Comput. Graph. Forum |
Keywords | Field | DocType |
cad | CAD,Computer vision,Look and feel,Computer graphics (images),Computer science,Stylized fact,Retargeting,Style sheet,Artificial intelligence | Journal |
Volume | Issue | ISSN |
33 | 1 | 0167-7055 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuan Li | 1 | 331 | 16.99 |
| Philip J. Willis | 2 | 114 | 13.68 |
| M. Brown | 3 | 2474 | 175.45 |