mlsanityData to 14 Oct 2026

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

arXiv 2405.03682 ↗First posted 6 May 2024cs.CVcited by 4

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 31 of its 57 references that are in the map. First posted on arXiv 6 May 2024.

Builds on

31 of 57 references.

References · 31

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  5. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  6. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  7. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  8. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,859
  9. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
  10. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  11. 2016Context Encoders: Feature Learning by Inpaintingcited by 1,428
  12. 2017Matterport3D: Learning from RGB-D Data in Indoor Environmentscited by 1,376
19 more
  1. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 970
  2. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  3. 2018Free-Form Image Inpainting with Gated Convolutioncited by 594
  4. 2021Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AIcited by 592
  5. 2018Generative Image Inpainting with Contextual Attentioncited by 580
  6. 2022Vision Transformer Adapter for Dense Predictionscited by 565
  7. 2018Image Inpainting for Irregular Holes Using Partial Convolutionscited by 505
  8. 2024A Survey on Hallucination in Large Vision-Language Modelscited by 357
  9. 2023Analyzing and Mitigating Object Hallucination in Large Vision-Language Modelscited by 316
  10. 2024A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Modelscited by 269
  11. 2019HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentationcited by 108
  12. 2018PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Imagecited by 105
  13. 2020High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsamplingcited by 79
  14. 2018SPG-Net: Segmentation Prediction and Guidance Network for Image Inpaintingcited by 58
  15. 2020No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometrycited by 9
  16. 2023Layout-guided Indoor Panorama Inpainting with Plane-aware Normalizationcited by 5
  17. 2023Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illuminationcited by 5
  18. 2021Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalizationcited by 4
  19. 2022Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenescited by 2

Built on by

Cited by year

Citing papers per year: 2024: 1; 2025: 3.

4 papers.

  1. 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Priorcited by 31
  2. 2025DreamAnywhere: Object-Centric Panoramic 3D Scene Generationcited by 2
  3. 2024Semantic UV mapping to improve texture inpainting for indoor scenescited by 1
  4. 2025Defurnishing with X-Ray Vision: Joint Removal of Furniture from Panoramas and Meshcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention
  2. 2024RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing
  3. 2023PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
  4. 2026HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes
  5. 2024RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry
  6. 2023DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
  7. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesis
  8. 2023Intrinsic Image Diffusion for Indoor Single-view Material Estimation