  We address the problem of detecting and erasing furniture from a wide angle
photograph of a room. Inpainting large regions of an indoor scene often results
in geometric inconsistencies of background elements within the inpaint mask. To
address this problem, we utilize perceptual information (e.g. instance
segmentation, and room layout) to produce a geometrically consistent empty
version of a room. We share important details to make this system viable, such
as per-plane inpainting, automatic rectification, and texture refinement. We
provide detailed ablation along with qualitative examples, justifying our
design choices. We show an application of our system by removing real furniture
from a room and redecorating it with virtual furniture.
