mlsanityData to 14 Oct 2026

Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes

arXiv 1903.03911 ↗First posted 10 Mar 2019cs.CV cs.GRcited by 119

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Abstract (arXiv)

For the task of mobility analysis of 3D shapes, we propose joint analysis for simultaneous motion part segmentation and motion attribute estimation, taking a single 3D model as input. The problem is significantly different from those tackled in the existing works which assume the availability of either a pre-existing shape segmentation or multiple 3D models in different motion states. To that end, we develop Shape2Motion which takes a single 3D point cloud as input, and jointly computes a mobility-oriented segmentation and the associated motion attributes. Shape2Motion is comprised of two deep neural networks designed for mobility proposal generation and mobility optimization, respectively. The key contribution of these networks is the novel motion-driven features and losses used in both motion part segmentation and motion attribute estimation. This is based on the observation that the movement of a functional part preserves the shape structure. We evaluate Shape2Motion with a newly proposed benchmark for mobility analysis of 3D shapes. Results demonstrate that our method achieves the state-of-the-art performance both in terms of motion part segmentation and motion attribute estimation.

Key facts. Cited by 119 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Mar 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 13; 2022: 17; 2023: 21; 2024: 19; 2025: 27; 2026: 22.

119 papers.

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  1. 2021Where2Act: From Pixels to Actions for Articulated 3D Objectscited by 182
  2. 2022Ditto: Building Digital Twins of Articulated Objects from Interactioncited by 156
  3. 2022GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Partscited by 139
  4. 2023PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objectscited by 118
  5. 2021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representationcited by 114
  6. 2024URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Imagescited by 111
  7. 2022FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objectscited by 91
  8. 2022AKB-48: A Real-World Articulated Object Knowledge Basecited by 82
  9. 2021VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objectscited by 80
  10. 2021JoinABLe: Learning Bottom-up Assembly of Parametric CAD Jointscited by 78
  11. 2022Full-Body Articulated Human-Object Interactioncited by 78
  12. 2024Real2Code: Reconstruct Articulated Objects via Code Generationcited by 69
38 more
  1. 2025ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splattingcited by 67
  2. 2023DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objectscited by 66
  3. 2021AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactionscited by 57
  4. 2022CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphismcited by 57
  5. 2022OPD: Single-view 3D Openable Part Detectioncited by 54
  6. 2024Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstructioncited by 54
  7. 2023CAGE: Controllable Articulation GEnerationcited by 52
  8. 2021MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronizationcited by 46
  9. 2021Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulationcited by 44
  10. 2025Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modelingcited by 43
  11. 2023Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perceptioncited by 41
  12. 2021Towards Real-World Category-level Articulation Pose Estimationcited by 39
  13. 2023OPDMulti: Openable Part Detection for Multiple Objectscited by 39
  14. 2022Understanding 3D Object Articulation in Internet Videoscited by 36
  15. 2023Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objectscited by 35
  16. 2025ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splattingcited by 35
  17. 2021PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoningcited by 34
  18. 2023Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Cloudscited by 34
  19. 2024A3VLM: Actionable Articulation-Aware Vision Language Modelcited by 33
  20. 2026Articraft: An Agentic System for Scalable Articulated 3D Asset Generationcited by 30
  21. 2023Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariancecited by 26
  22. 2023NAP: Neural 3D Articulation Priorcited by 25
  23. 2022Category-Independent Articulated Object Tracking with Factor Graphscited by 24
  24. 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesiscited by 24
  25. 2023Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusionscited by 23
  26. 2023Category-Level Multi-Part Multi-Joint 3D Shape Assemblycited by 22
  27. 2024S2O: Static to Openable Enhancement for Articulated 3D Objectscited by 22
  28. 2025FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusioncited by 22
  29. 2025DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Datacited by 21
  30. 2022Morig: Motion-aware rigging of character meshes from point cloudscited by 20
  31. 20233D Implicit Transporter for Temporally Consistent Keypoint Discoverycited by 20
  32. 2023Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariancecited by 19
  33. 2025Infinite Mobility: Scalable High-Fidelity Synthesis of Articulated Objects via Procedural Generationcited by 19
  34. 2025iTACO: Interactable Digital Twins of Articulated Objects from Casually Captured RGBD Videoscited by 19
  35. 2021Distributional Depth-Based Estimation of Object Articulation Modelscited by 18
  36. 2025GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objectscited by 17
  37. 2023ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimationcited by 16
  38. 2022Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrationscited by 15

50 most cited of 119 All 119 (JSON)