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Human beings understand natural language description and could able toimagine a corresponding visual for the same. For example, given a descriptionof the interior of a house, we could imagine its structure and arrangements offurniture. Automatic synthesis of real-world images from text descriptions hasbeen explored in the computer vision community. However, there is no suchattempt in the area of document images, like floor plans. Floor plan synthesisfrom sketches, as well as data-driven models, were proposed earlier. Ours isthe first attempt to render building floor plan images from textual descriptionautomatically. Here, the input is a natural language description of theinternal structure and furniture arrangements within a house, and the output isthe 2D floor plan image of the same. We have experimented on publicly availablebenchmark floor plan datasets. We were able to render realistic synthesizedfloor plan images from the description written in English.

Automatic Rendering of Building Floor Plan Images from Textual Descriptions in English