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Bibliographic Details
Main Authors: Slavcheva, Mira, Gausebeck, Dave, Chen, Kevin, Buchhofer, David, Sabik, Azwad, Ma, Chen, Dhillon, Sachal, Brandt, Olaf, Dolhasz, Alan
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.03682
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author Slavcheva, Mira
Gausebeck, Dave
Chen, Kevin
Buchhofer, David
Sabik, Azwad
Ma, Chen
Dhillon, Sachal
Brandt, Olaf
Dolhasz, Alan
author_facet Slavcheva, Mira
Gausebeck, Dave
Chen, Kevin
Buchhofer, David
Sabik, Azwad
Ma, Chen
Dhillon, Sachal
Brandt, Olaf
Dolhasz, Alan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03682
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas
Slavcheva, Mira
Gausebeck, Dave
Chen, Kevin
Buchhofer, David
Sabik, Azwad
Ma, Chen
Dhillon, Sachal
Brandt, Olaf
Dolhasz, Alan
Computer Vision and Pattern Recognition
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.
title An Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2405.03682