mlsanityData to 7 Oct 2026

Open3D: A Modern Library for 3D Data Processing

arXiv 1801.09847 ↗First posted 30 Jan 2018cs.CV cs.GR cs.ROcited by 717

Not on the map. Why?

Cited by 24 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization. Open3D was developed from a clean slate with a small and carefully considered set of dependencies. It can be set up on different platforms and compiled from source with minimal effort. The code is clean, consistently styled, and maintained via a clear code review mechanism. Open3D has been used in a number of published research projects and is actively deployed in the cloud. We welcome contributions from the open-source community.

Key facts. Cited by 717 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jan 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 103; 2022: 113; 2023: 130; 2024: 140; 2025: 134; 2026: 97.

717 papers.

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  1. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
  2. 2021NICE-SLAM: Neural Implicit Scalable Encoding for SLAMcited by 586
  3. 2024Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spacescited by 580
  4. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  5. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 324
  6. 2022HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interactioncited by 321
  7. 2023UniSim: A Neural Closed-Loop Sensor Simulatorcited by 294
  8. 2023Geometry-Informed Neural Operator for Large-Scale 3D PDEscited by 293
  9. 2022Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstructioncited by 211
  10. 2025Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligencecited by 206
  11. 2021Shape As Points: A Differentiable Poisson Solvercited by 186
  12. 2022PLA: Language-Driven Open-Vocabulary 3D Scene Understandingcited by 176
38 more
  1. 2021Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphscited by 144
  2. 2021PointDSC: Robust Point Cloud Registration using Deep Spatial Consistencycited by 142
  3. 2022NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editingcited by 141
  4. 2024DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshingcited by 136
  5. 2024CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularizationcited by 120
  6. 2024RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videoscited by 113
  7. 2024RaDe-GS: Rasterizing Depth in Gaussian Splattingcited by 110
  8. 2021Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representationscited by 107
  9. 2021Neural Lumigraph Renderingcited by 105
  10. 2024UniScene: Unified Occupancy-centric Driving Scene Generationcited by 102
  11. 2022Generative Neural Articulated Radiance Fieldscited by 101
  12. 2025CAST: Component-Aligned 3D Scene Reconstruction from an RGB Imagecited by 101
  13. 2021gradSim: Differentiable simulation for system identification and visuomotor controlcited by 100
  14. 2022LaMAR: Benchmarking Localization and Mapping for Augmented Realitycited by 98
  15. 2021Robust Point Cloud Registration Framework Based on Deep Graph Matchingcited by 96
  16. 2022Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detectioncited by 92
  17. 2022Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstructioncited by 92
  18. 2022FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objectscited by 91
  19. 2021The Power of Points for Modeling Humans in Clothingcited by 90
  20. 2024Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Modelcited by 90
  21. 2021BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Modelscited by 87
  22. 2021A comprehensive survey on point cloud registrationcited by 84
  23. 2021CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Cloudscited by 83
  24. 2022SimpleRecon: 3D Reconstruction Without 3D Convolutionscited by 83
  25. 2023GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformercited by 83
  26. 2023OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentationcited by 82
  27. 2021Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos using Depth Networks and Photometric Constraintscited by 80
  28. 2022Neural 3D Reconstruction in the Wildcited by 79
  29. 2022Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptionscited by 78
  30. 2021Learning Signed Distance Field for Multi-view Surface Reconstructioncited by 76
  31. 2023Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detectioncited by 74
  32. 2026CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulationcited by 72
  33. 2021PointMixer: MLP-Mixer for Point Cloud Understandingcited by 71
  34. 2022Neural Dual Contouringcited by 71
  35. 2021Unsupervised Scale-consistent Depth Learning from Videocited by 69
  36. 2022CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimationcited by 69
  37. 2021You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptorscited by 68
  38. 2023LooseControl: Lifting ControlNet for Generalized Depth Conditioningcited by 68

50 most cited of 717 All 717 (JSON)