String‐Based Synthesis of Structured Shapes
| Autor: | Leif Kobbelt, Javor Kalojanov, Isaak Lim, Niloy J. Mitra |
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| Rok vydání: | 2019 |
| Předmět: |
Class (computer programming)
Theoretical computer science Computer science String (computer science) 020207 software engineering 02 engineering and technology Computer Graphics and Computer-Aided Design Autoencoder Task (project management) 0202 electrical engineering electronic engineering information engineering Code (cryptography) Leverage (statistics) 020201 artificial intelligence & image processing Versa Interpolation |
| Zdroj: | Computer Graphics Forum. 38:27-36 |
| ISSN: | 1467-8659 0167-7055 |
| DOI: | 10.1111/cgf.13616 |
| Popis: | We propose a novel method to synthesize geometric models from a given class of context‐aware structured shapes such as buildings and other man‐made objects. The central idea is to leverage powerful machine learning methods from the area of natural language processing for this task. To this end, we propose a technique that maps shapes to strings and vice versa, through an intermediate shape graph representation. We then convert procedurally generated shape repositories into text databases that, in turn, can be used to train a variational autoencoder. The autoencoder enables higher level shape manipulation and synthesis like, for example, interpolation and sampling via its continuous latent space. We provide project code and pre‐trained models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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