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