mlsanityData to 7 Oct 2026

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

arXiv 2002.12212 ↗First posted 27 Feb 2020cs.CVcited by 170

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Abstract (arXiv)

Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction. Existing works either address one part of this problem or focus on independent objects. In this paper, we bridge the gap between understanding and reconstruction, and propose an end-to-end solution to jointly reconstruct room layout, object bounding boxes and meshes from a single image. Instead of separately resolving scene understanding and object reconstruction, our method builds upon a holistic scene context and proposes a coarse-to-fine hierarchy with three components: 1. room layout with camera pose; 2. 3D object bounding boxes; 3. object meshes. We argue that understanding the context of each component can assist the task of parsing the others, which enables joint understanding and reconstruction. The experiments on the SUN RGB-D and Pix3D datasets demonstrate that our method consistently outperforms existing methods in indoor layout estimation, 3D object detection and mesh reconstruction.

Key facts. Cited by 170 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Feb 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 29; 2022: 30; 2023: 32; 2024: 30; 2025: 21; 2026: 28.

170 papers.

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  1. 2021MonoScene: Monocular 3D Semantic Scene Completioncited by 357
  2. 2021Neural RGB-D Surface Reconstructioncited by 312
  3. 2022Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representationcited by 243
  4. 2023Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perceptioncited by 166
  5. 2022Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wildcited by 159
  6. 2021ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detectioncited by 157
  7. 2021Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphscited by 144
  8. 2024MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generationcited by 113
  9. 2021Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networkscited by 98
  10. 2021Holistic 3D Scene Understanding from a Single Image with Implicit Representationcited by 94
  11. 2022GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Votingcited by 94
  12. 2023NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Spacecited by 88
38 more
  1. 2025Visual Spatial Tuningcited by 85
  2. 2021Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphscited by 83
  3. 20213D Semantic Scene Completion: a Surveycited by 74
  4. 2022Object-Compositional Neural Implicit Surfacescited by 74
  5. 2021Panoptic 3D Scene Reconstruction From a Single RGB Imagecited by 70
  6. 2022ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimizationcited by 70
  7. 2022CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimationcited by 69
  8. 2021ROCA: Robust CAD Model Retrieval and Alignment from a Single Imagecited by 66
  9. 2024Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single Viewcited by 59
  10. 2022Human-Aware Object Placement for Visual Environment Reconstructioncited by 56
  11. 2024AffordanceLLM: Grounding Affordance from Vision Language Modelscited by 55
  12. 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusioncited by 54
  13. 2022SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fieldscited by 49
  14. 2023DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Imagecited by 48
  15. 2024PhyRecon: Physically Plausible Neural Scene Reconstructioncited by 44
  16. 2022Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenescited by 43
  17. 2022RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimationcited by 43
  18. 2021Planar Surface Reconstruction from Sparse Viewscited by 40
  19. 2023IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformationcited by 40
  20. 2021D3D-HOI: Dynamic 3D Human-Object Interactions from Videoscited by 39
  21. 2021Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Imagecited by 39
  22. 2023Incremental 3D Semantic Scene Graph Prediction from RGB Sequencescited by 39
  23. 2023Single-view 3D Scene Reconstruction with High-fidelity Shape and Texturecited by 37
  24. 2022Understanding 3D Object Articulation in Internet Videoscited by 36
  25. 2024Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assemblycited by 34
  26. 2021DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimizationcited by 33
  27. 2023Understanding 3D Object Interaction from a Single Imagecited by 33
  28. 2025Detect Anything 3D in the Wildcited by 32
  29. 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Priorcited by 30
  30. 2022CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinementcited by 28
  31. 2021Indoor Scene Generation from a Collection of Semantic-Segmented Depth Imagescited by 27
  32. 2021PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Cloudscited by 26
  33. 20233DiffTection: 3D Object Detection with Geometry-Aware Diffusion Featurescited by 26
  34. 2022Learning 3D Scene Priors with 2D Supervisioncited by 24
  35. 2022OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detectioncited by 23
  36. 2023PSDR-Room: Single Photo to Scene using Differentiable Renderingcited by 23
  37. 2025DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusioncited by 23
  38. 2021Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsingcited by 22

50 most cited of 170 All 170 (JSON)