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3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics.
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“DART: Dense Articulated Real-Time Tracking.”
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“ShapeNet: An information-rich 3D model repository”
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“Survey on 3D hand gesture recognition”
Hong Cheng, Lu Yang and Zicheng Liu · 2015
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“Active articulation model estimation through interactive perception”
Karol Hausman, Scott Niekum, Sarah Osentoski and Gaurav Sukhatme · 2015
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“Interaction context (ICON) towards a geometric functionality descriptor”
Ruizhen Hu et al · 2015
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“A primal-dual framework for real-time dense RGB-D scene flow”
Mariano Jaimez, Mohamed Souiai, Javier Gonzalez-Jimenez and Daniel Cremers · 2015
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“State of the art in hand and finger modeling and animation”
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“Articulated hand pose estimation review”
Emad Barsoum · 2016
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“Deep residual learning for image recognition”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
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“Mobility fitting using 4D RANSAC”
Hao Li et al · 2016
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“PointNet: deep learning on point sets for 3D classification and segmentation. 2017”
C Qi, H Su, K Mo and LJ Guibas · 2016
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“Space-time co-segmentation of articulated point cloud sequences”
Qing Yuan et al · 2016
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“Mask R-CNN”
Kaiming He, Georgia Gkioxari, Piotr Dollár and Ross Girshick · 2017
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“Learning to predict part mobility from a single static snapshot”
Ruizhen Hu et al · 2017
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“3D Warehouse” Accessed: 2024-01-22, 2017
Trimble Inc · 2017
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“SketchUp” Accessed: 2024-01-22, 2017
Trimble Inc · 2017
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“AI2-THOR: An interactive 3D environment for visual AI”
Eric Kolve et al · 2017
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“Modern robotics: Mechanics, planning, and control (Preprint version)”, 2017
Kevin. Lynch and Frank. Park · 2017
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“Pointnet++: Deep hierarchical feature learning on point sets in a metric space”
Charles Qi, Li Yi, Hao Su and Leonidas Guibas · 2017
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“Representation, analysis, and recognition of 3D humans: A survey”
Stefano Berretti, Mohamed Daoudi, Pavan Turaga and Anup Basu · 2018
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“3D Semantic Segmentation with Submanifold Sparse Convolutional Networks”
Benjamin Graham, Martin Engelcke and Laurens van Maaten · 2018
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“Functionality representations and applications for shape analysis”
Ruizhen Hu, Manolis Savva and Oliver van Kaick · 2018
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“Virtualhome: Simulating household activities via programs”
Xavier Puig et al · 2018
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“Deep part induction from articulated object pairs”
Li Yi et al · 2018
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“Hand pose estimation and tracking in real and virtual interaction: A review”
Ammar Ahmad, Cyrille Migniot and Albert Dipanda · 2019
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“Learning to generalize kinematic models to novel objects”
Ben Abbatematteo, Stefanie Tellex and George Konidaris · 2019
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“Vrkitchen: an interactive 3D virtual environment for task-oriented learning”
Xiaofeng Gao et al · 2019
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“A survey on 3D hand pose estimation: Cameras, methods, and datasets”
Rui Li, Zhenyu Liu and Jianrong Tan · 2019
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“The RBO dataset of articulated objects and interactions”
Roberto Martín-Martín, Clemens Eppner and Oliver Brock · 2019
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“Occupancy networks: Learning 3D reconstruction in function space”
Lars Mescheder et al · 2019
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“Occupancy networks: Learning 3D reconstruction in function space”
Lars Mescheder et al · 2019
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“PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding”
Kaichun Mo et al · 2019
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“Habitat: A platform for embodied AI research”
Manolis Savva et al · 2019
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“Photo wake-up: 3D character animation from a single photo”
Chung-Yi Weng, Brian Curless and Ira Kemelmacher-Shlizerman · 2019
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“RPM-Net: recurrent prediction of motion and parts from point cloud”
Zihao Yan et al · 2019
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“Skeleton-aware networks for deep motion retargeting”
Kfir Aberman et al · 2020
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“Denoising diffusion probabilistic models”
Jonathan Ho, Ajay Jain and Pieter Abbeel · 2020
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“Articulation-aware canonical surface mapping”
Nilesh Kulkarni, Abhinav Gupta, David Fouhey and Shubham Tulsiani · 2020
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“GRAB: A dataset of whole-body human grasping of objects”
Omid Taheri, Nima Ghorbani, Michael Black and Dimitrios Tzionas · 2020
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“Perceiving 3D human-object spatial arrangements from a single image in the wild”
Jason Zhang et al · 2020
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“Towards efficient and photorealistic 3D human reconstruction: a brief survey”
Lu Chen, Sida Peng and Xiaowei Zhou · 2021
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“Reconstructing hand-object interactions in the wild”
Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa and Jitendra Malik · 2021
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“Emerging properties in self-supervised vision transformers”
Mathilde Caron et al · 2021
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“3D-Future: 3D furniture shape with texture”
Huan Fu et al · 2021
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“Act the part: Learning interaction strategies for articulated object part discovery”
Samir Gadre, Kiana Ehsani and Shuran Song · 2021
Cited alongside, same era.
“Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization”
Jiahui Huang et al · 2021
Cited alongside, same era.
“ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory”
Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck and Scott Niekum · 2021
Cited alongside, same era.
“Where2act: From pixels to actions for articulated 3D objects”
Kaichun Mo et al · 2021
Cited alongside, same era.
“A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation”
Jiteng Mu et al · 2021
Cited alongside, same era.
“Self-Supervised Learning of Part Mobility from Point Cloud Sequence”
“NAP: Neural 3D articulated object prior”
Jiahui Lei et al · 2023
Later among the works it cites.
“Building rearticulable models for arbitrary 3d objects from 4d point clouds”
Shaowei Liu, Saurabh Gupta and Shenlong Wang · 2023
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“Locomotion-action-manipulation: Synthesizing human-scene interactions in complex 3d environments”
Jiye Lee and Hanbyul Joo · 2023
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“PARIS: Part-level reconstruction and motion analysis for articulated objects”
Jiayi Liu, Ali Mahdavi-Amiri and Manolis Savva · 2023
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“Semi-weakly supervised object kinematic motion prediction”
Gengxin Liu et al · 2023
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“Few-shot physically-aware articulated mesh generation via hierarchical deformation”
Xueyi Liu, Bin Wang, He Wang and Li Yi · 2023
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Yahao Shi, Xinyu Cao and Bin Zhou · 2021
Cited alongside, same era.
“A-NeRF: Articulated neural radiance fields for learning human shape, appearance, and pose”
Shih-Yang Su, Frank Yu, Michael Zollhöfer and Helge Rhodin · 2021
Cited alongside, same era.
“NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction”
Peng Wang et al · 2021
Cited alongside, same era.
“Deep 3D human pose estimation: A review”
Jinbao Wang et al · 2021
Cited alongside, same era.
“CAPTRA: Category-level pose tracking for rigid and articulated objects from point clouds”
Yijia Weng et al · 2021
Cited alongside, same era.
“D3D-HOI: Dynamic 3D human-object interactions from videos”
Xiang Xu, Hanbyul Joo, Greg Mori and Manolis Savva · 2021
Cited alongside, same era.
“LASR: Learning articulated shape reconstruction from a monocular video”
Gengshan Yang et al · 2021
Cited alongside, same era.
Later among the works it cites.
“Self-supervised category-Level articulated object pose estimation with part-Level SE(3) Equivariance”
Xueyi Liu et al · 2023
Later among the works it cites.
Zhe Li, Zerong Zheng, Lizhen Wang and Yebin Liu · 2023
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“Transfer4D: A framework for frugal motion capture and deformation transfer”
Shubh Maheshwari, Rahul Narain and Ramya Hebbalaguppe · 2023
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“Structure from Action: Learning Interactions for 3D Articulated Object Structure Discovery”
Neil Nie, Samir Gadre, Kiana Ehsani and Shuran Song · 2023
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“DINOv2: Learning robust visual features without supervision”
Maxime Oquab et al · 2023
Later among the works it cites.
“Habitat 3.0: A co-habitat for humans, avatars and robots”
Xavier Puig et al · 2023
Later among the works it cites.
“Understanding 3D object interaction from a single image”
Shengyi Qian and David Fouhey · 2023
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“3DGS-avatar: Animatable avatars via deformable 3D gaussian splatting”
Zhiyin Qian et al · 2023
Later among the works it cites.
“Code Llama: Open foundation models for code”
Baptiste Roziere et al · 2023
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“OPDMulti: Openable Part Detection for Multiple Objects”
Xiaohao Sun, Hanxiao Jiang, Manolis Savva and Angel Chang · 2023
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“Distilling neural fields for real-time articulated shape reconstruction”
Jeff Tan, Gengshan Yang and Deva Ramanan · 2023
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“Magicpony: Learning articulated 3D animals in the wild”
Shangzhe Wu et al · 2023
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“Hi-LASSIE: High-fidelity articulated shape and skeleton discovery from sparse image ensemble”
Chun-Han Yao et al · 2023
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Yuchen Zhou et al · 2023
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“Deep learning-based human pose estimation: A survey”
Ce Zheng et al · 2023
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“Generating human motion from textual descriptions with discrete representations”
Jianrong Zhang et al · 2023
Later among the works it cites.
“SAOR: Single-view articulated object reconstruction”
Mehmet Aygun and Oisin Mac · 2024
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“SceneFun3D: Fine-grained functionality and affordance understanding in 3D scenes”
Alexandros Delitzas et al · 2024
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“MeshArt: Generating Articulated Meshes with Structure-guided Transformers”
Daoyi Gao, Yawar Siddiqui, Lei Li and Angela Dai · 2024
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“S2O: Static to Openable Enhancement for Articulated 3D Objects”, 2024
Denys Iliash et al · 2024
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“Farm3d: Learning articulated 3d animals by distilling 2d diffusion”
Tomas Jakab et al · 2024
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Jeonghwan Kim, Jisoo Kim, Jeonghyeon Na and Hanbyul Joo · 2024
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“Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction”
Justin Kerr et al · 2024
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“Habitat synthetic scenes dataset (HSSD-200): An analysis of 3D scene scale and realism tradeoffs for objectgoal navigation”
Mukul Khanna et al · 2024
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“PhysPart: Physically plausible part completion for interactable objects”
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“SINGAPO: Single Image Controlled Generation of Articulated Parts in Object”
Jiayi Liu et al · 2024
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“Learning the 3D Fauna of the Web”
Zizhang Li et al · 2024
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“Lepard: Learning explicit part discovery for 3D articulated shape reconstruction”
Di Liu et al · 2024
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“CAGE: Controllable Articulation GEneration”
Jiayi Liu, Hou Tam, Ali Mahdavi-Amiri and Manolis Savva · 2024
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“Gart: Gaussian articulated template models”
Jiahui Lei et al · 2024
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“Articulated object manipulation with coarse-to-fine affordance for mitigating the effect of point cloud noise”
Suhan Ling et al · 2024
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Long Le et al · 2024
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“AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration”
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“Real2Code: Reconstruct Articulated Objects via Code Generation”
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