An Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas
Fuente:
arXiv
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911868801515520 |
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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 |