Publikation

IAPR

Johannes Bayer (Hrsg.)

IAPR International Workshop on Graphics Recognition (GREC-2017) befindet sich 12th IAPR International Workshop on Graphics Recognition Japan 2017.

Abstrakt

Abstract—During early design phases, the architect’s task is to develop a floor plan layout from a high level description. This process is usually conducted manually nowadays in an iterative manner. In order to assist the architect with repetitive tasks during the individual design steps, we trained a recurrent neural network to mimic the architect’s behavior. Our approach is based on sequences that recreate the user’s behavior and that we generated from simple floor plans. By utilizing a dedicated inferencing mechanism, we are able to implement the generation of different design steps and tasks using a single LSTM model. We compare two different types of sequencing approaches by calculating their errors on a test set for a selected design step and evaluating the results qualitatively. While the current performance still needs to be improved for productive use, our dedicated inference mechanism shows a functional behavior.

Projekte

58_GREC2017.pdf (pdf, 362 KB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence