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Main Authors: Dolhasz, Alan, Ma, Chen, Gausebeck, Dave, Chen, Kevin, Miller, Gregor, Hayne, Lucas, Hovden, Gunnar, Sabik, Azwad, Brandt, Olaf, Slavcheva, Mira
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2506.05338
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author Dolhasz, Alan
Ma, Chen
Gausebeck, Dave
Chen, Kevin
Miller, Gregor
Hayne, Lucas
Hovden, Gunnar
Sabik, Azwad
Brandt, Olaf
Slavcheva, Mira
author_facet Dolhasz, Alan
Ma, Chen
Gausebeck, Dave
Chen, Kevin
Miller, Gregor
Hayne, Lucas
Hovden, Gunnar
Sabik, Azwad
Brandt, Olaf
Slavcheva, Mira
contents We present a pipeline for generating defurnished replicas of indoor spaces represented as textured meshes and corresponding multi-view panoramic images. To achieve this, we first segment and remove furniture from the mesh representation, extend planes, and fill holes, obtaining a simplified defurnished mesh (SDM). This SDM acts as an ``X-ray'' of the scene's underlying structure, guiding the defurnishing process. We extract Canny edges from depth and normal images rendered from the SDM. We then use these as a guide to remove the furniture from panorama images via ControlNet inpainting. This control signal ensures the availability of global geometric information that may be hidden from a particular panoramic view by the furniture being removed. The inpainted panoramas are used to texture the mesh. We show that our approach produces higher quality assets than methods that rely on neural radiance fields, which tend to produce blurry low-resolution images, or RGB-D inpainting, which is highly susceptible to hallucinations.
format Preprint
id arxiv_https___arxiv_org_abs_2506_05338
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Defurnishing with X-Ray Vision: Joint Removal of Furniture from Panoramas and Mesh
Dolhasz, Alan
Ma, Chen
Gausebeck, Dave
Chen, Kevin
Miller, Gregor
Hayne, Lucas
Hovden, Gunnar
Sabik, Azwad
Brandt, Olaf
Slavcheva, Mira
Computer Vision and Pattern Recognition
We present a pipeline for generating defurnished replicas of indoor spaces represented as textured meshes and corresponding multi-view panoramic images. To achieve this, we first segment and remove furniture from the mesh representation, extend planes, and fill holes, obtaining a simplified defurnished mesh (SDM). This SDM acts as an ``X-ray'' of the scene's underlying structure, guiding the defurnishing process. We extract Canny edges from depth and normal images rendered from the SDM. We then use these as a guide to remove the furniture from panorama images via ControlNet inpainting. This control signal ensures the availability of global geometric information that may be hidden from a particular panoramic view by the furniture being removed. The inpainted panoramas are used to texture the mesh. We show that our approach produces higher quality assets than methods that rely on neural radiance fields, which tend to produce blurry low-resolution images, or RGB-D inpainting, which is highly susceptible to hallucinations.
title Defurnishing with X-Ray Vision: Joint Removal of Furniture from Panoramas and Mesh
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2506.05338