Mask
Identify only movable items and protect every permanent feature.
Learn how virtual furniture removal reconstructs hidden room surfaces, what to review, and why the current studio keeps removal separate from AI staging.
The current studio accepts a room photo and generates a staged concept. Its prompt adds appropriately scaled furniture while preserving architecture; it does not expose a separate remove-furniture control or promise reliable object removal.
This page exists to explain the task, its risks, and the product boundary. Use an editor-led removal service or recapture the room empty when you need a production result now.
A sofa can cover flooring, baseboards, outlets, wall damage, shadows, and reflections. Software must infer those hidden pixels, which can create details that were never photographed. That makes removal a higher-risk operation than adding furniture to a clearly empty area.
When removal is necessary, keep additional room angles and close-up source photos. Inspect every reconstructed wall, floor, trim line, outlet, reflection, and shadow. Do not publish a result that invents or conceals a material condition.
Identify only movable items and protect every permanent feature.
Fill the hidden region with conservative geometry and matching materials.
Use other source angles, record the edit, and disclose it as required.
A future removal workflow should separate selection, preview, reconstruction, staging, and review. It also needs clear failure states, source/result pairing, and a prompt that forbids removal of fixed features or visible property condition.
No. The current public studio does not expose a dedicated furniture-removal workflow. This page documents the intended task and review boundary.
Removal reconstructs surfaces hidden by the original object. It needs explicit masking, conservative reconstruction, and a separate review step so fixed features or condition are not accidentally changed.
Recapture the room empty when possible, or use a reputable editor-led removal service and compare the result with additional source angles.
Use a clear empty-room photo in the current virtualstagingai.dev studio, or review the gallery first.