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[bibtex]@InProceedings{Slavcheva_2024_CVPR, author = {Slavcheva, Mira and Gausebeck, Dave and Chen, Kevin and Buchhofer, David and Sabik, Azwad and Ma, Chen and Dhillon, Sachal and Brandt, Olaf and Dolhasz, Alan}, title = {An Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {7384-7394} }
An Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas
Abstract
We propose a pipeline that leverages Stable Diffusion to improve inpainting results in the context of defurnishing--the removal of furniture items from indoor panorama images. Specifically we illustrate how increased context domain-specific model fine-tuning and improved image blending can produce high-fidelity inpaints that are geometrically plausible without needing to rely on room layout estimation. We demonstrate qualitative and quantitative improvements over other furniture removal techniques.
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