mlsanityData to 7 Oct 2026

Survey on Modeling of Human-made Articulated Objects

arXiv 2403.14937 ↗First posted 22 Mar 2024cs.CVcited by 14

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Abstract (arXiv)

3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics. Its objective is to understand the shape and motion of the articulated components, represent the geometry and mobility of object parts, and create realistic models that reflect articulated objects in the real world. This survey provides a comprehensive overview of the current state-of-the-art in 3D modeling of articulated objects, with a specific focus on the task of articulated part perception and articulated object creation (reconstruction and generation). We systematically review and discuss the relevant literature from two perspectives: geometry modeling (i.e., structure and shape of articulated parts) and articulation modeling (i.e., dynamics and motion of parts). Through this survey, we highlight the substantial progress made in these areas, outline the ongoing challenges, and identify gaps for future research. Our survey aims to serve as a foundational reference for researchers and practitioners in computer vision and graphics, offering insights into the complexities of articulated object modeling.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 115 of its 183 references that are in the map. First posted on arXiv 22 Mar 2024.

Builds on

115 of 183 references.

References · 115

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2023Segment Anythingcited by 8,158
  5. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
  6. 2017Mask R-CNNcited by 7,259
  7. 2021Emerging Properties in Self-Supervised Vision Transformerscited by 6,893
  8. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  9. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,223
  10. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,384
  11. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  12. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
38 more
  1. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
  2. 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,338
  3. 2023Code Llama: Open Foundation Models for Codecited by 2,105
  4. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  5. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  6. 2021Ego4D: Around the World in 3,000 Hours of Egocentric Videocited by 1,530
  7. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,526
  8. 2019Habitat: A Platform for Embodied AI Researchcited by 1,163
  9. 2017AI2-THOR: An Interactive 3D Environment for Visual AIcited by 850
  10. 20173D Semantic Segmentation with Submanifold Sparse Convolutional Networkscited by 746
  11. 2020SAPIEN: A SimulAted Part-based Interactive ENvironmentcited by 584
  12. 2023T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representationscited by 577
  13. 2018PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understandingcited by 521
  14. 2018VirtualHome: Simulating Household Activities via Programscited by 411
  15. 2020GRAB: A Dataset of Whole-Body Human Grasping of Objectscited by 397
  16. 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 360
  17. 20203D-FUTURE: 3D Furniture shape with TextUREcited by 306
  18. 2022BEHAVE: Dataset and Method for Tracking Human Object Interactionscited by 246
  19. 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
  20. 2023Habitat 3.0: A Co-Habitat for Humans, Avatars and Robotscited by 220
  21. 2020Deep Learning-Based Human Pose Estimation: A Surveycited by 205
  22. 2021BANMo: Building Animatable 3D Neural Models from Many Casual Videoscited by 195
  23. 20233DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splattingcited by 195
  24. 2021Where2Act: From Pixels to Actions for Articulated 3D Objectscited by 179
  25. 2023RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3Dcited by 168
  26. 2023Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigationcited by 162
  27. 2019Category-Level Articulated Object Pose Estimationcited by 158
  28. 2020Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wildcited by 152
  29. 2022Ditto: Building Digital Twins of Articulated Objects from Interactioncited by 152
  30. 2020Reconstructing Hand-Object Interactions in the Wildcited by 143
  31. 2024BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulationcited by 140
  32. 2022ARAH: Animatable Volume Rendering of Articulated Human SDFscited by 139
  33. 2022GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Partscited by 135
  34. 2022COUCH: Towards Controllable Human-Chair Interactionscited by 134
  35. 2022IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactionscited by 121
  36. 2023GART: Gaussian Articulated Template Modelscited by 121
  37. 2020Skeleton-Aware Networks for Deep Motion Retargetingcited by 118
  38. 2019Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapescited by 117

50 most cited of 115 All 115 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 9.

14 papers.

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  1. 2026Articraft: An Agentic System for Scalable Articulated 3D Asset Generationcited by 25
  2. 2024PhysPart: Physically Plausible Part Completion for Interactable Objectscited by 24
  3. 2025LARM: A Large Articulated-Object Reconstruction Modelcited by 12
  4. 2025ART: Articulated Reconstruction Transformercited by 9
  5. 2026FunRec: Reconstructing Functional 3D Scenes from Egocentric Interaction Videoscited by 7
  6. 2025Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Fieldcited by 4
  7. 2026SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLMcited by 3
  8. 2026ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactionscited by 3
  9. 2025DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Predictioncited by 2
  10. 2026PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videoscited by 1
  11. 2026EgoFun3D: Modeling Interactive Objects from Egocentric Videos using Function Templatescited by 1
  12. 2026QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulationcited by 1
2 more
  1. 2026Functionalization via Structure Completion and Motion Rectificationcited by 0
  2. 2026BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitivescited by 0