Point Pattern Synthesis via Irregular Convolution
| dc.contributor.author | Tu, Peihan | en_US |
| dc.contributor.author | Lischinski, Dani | en_US |
| dc.contributor.author | Huang, Hui | en_US |
| dc.contributor.editor | Bommes, David and Huang, Hui | en_US |
| dc.date.accessioned | 2019-07-11T06:19:29Z | |
| dc.date.available | 2019-07-11T06:19:29Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Point pattern synthesis is a fundamental tool with various applications in computer graphics. To synthesize a point pattern, some techniques have taken an example-based approach, where the user provides a small exemplar of the target pattern. However, it remains challenging to synthesize patterns that faithfully capture the structures in the given exemplar. In this paper, we present a new example-based point pattern synthesis method that preserves both local and non-local structures present in the exemplar. Our method leverages recent neural texture synthesis techniques that have proven effective in synthesizing structured textures. The network that we present is end-to-end. It utilizes an irregular convolution layer, which converts a point pattern into a gridded feature map, to directly optimize point coordinates. The synthesis is then performed by matching inter- and intra-correlations of the responses produced by subsequent convolution layers. We demonstrate that our point pattern synthesis qualitatively outperforms state-of-the-art methods on challenging structured patterns, and enables various graphical applications, such as object placement in natural scenes, creative element patterns or realistic urban layouts in a 3D virtual environment. | en_US |
| dc.description.number | 5 | |
| dc.description.sectionheaders | Synthesis and Learning | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 38 | |
| dc.identifier.doi | 10.1111/cgf.13793 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 109-122 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.13793 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13793 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.title | Point Pattern Synthesis via Irregular Convolution | en_US |