An Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas

Autor:	Slavcheva, Mira, Gausebeck, Dave, Chen, Kevin, Buchhofer, David, Sabik, Azwad, Ma, Chen, Dhillon, Sachal, Brandt, Olaf, Dolhasz, Alan
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted at CVPR 2024 workshops. Project page: https://matterport.github.io/automatic-defurnishing-of-indoor-panoramas/
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.03682 Zobrazit plný text záznamu View this record from Arxiv