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Despite much progress in large 3D datasets there are currently few interactive 3D object datasets, and their scale is limited due to the manual effort required in their construction.
MeshWalker: Deep mesh understanding by random walks
Alon Lahav and Ayellet Tal · 2006
Earlier work this paper cites.
ScrewNet: Category-independent articulation model estimation from depth images using screw theory
Ajinkya Jain, Rudolf Lioutikov, and Scott Niekum · 2008
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Visualizing data using t-SNE
Laurens Van der Maaten and Geoffrey Hinton · 2008
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3D-FUTURE: 3D furniture shape with texture
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, and Dacheng Tao · 2009
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Learning 3D mesh segmentation and labeling
Evangelos Kalogerakis, Aaron Hertzmann, and Karan Singh · 2010
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ShapeNet: An information-rich 3D model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
Earlier work this paper cites.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2016
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Shape completion using 3D-encoder-predictor cnns and shape synthesis
Angela Dai, Charles Ruizhongtai Qi, and Matthias Nießner · 2017
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Learning to predict part mobility from a single static snapshot
Ruizhen Hu, Wenchao Li, Oliver Van Kaick, Ariel Shamir, Hao Zhang, and Hui Huang · 2017
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Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
Earlier work this paper cites.
ScanComplete: Large-scale scene completion and semantic segmentation for 3D scans
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, and Matthias Nießner · 2018
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Learning to generalize kinematic models to novel objects
Ben Abbatematteo, Stefanie Tellex, and George Konidaris · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Generalized intersection over union
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Shape2Motion: Joint analysis of motion parts and attributes from 3D shapes
Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, and Kai Xu · 2019
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RPM-Net: recurrent prediction of motion and parts from point cloud
Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver Van Kaick, Hao Zhang, and Hui Huang · 2019
Earlier work this paper cites.
Deep part induction from articulated object pairs
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, and Leonidas Guibas · 2019
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Rearrangement: A challenge for embodied AI
Dhruv Batra, Angel X Chang, Sonia Chernova, Andrew J Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, et al · 2020
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PointGroup: Dual-set point grouping for 3D instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
Earlier work this paper cites.
Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, A Lynn Abbott, and Shuran Song · 2020
Cited alongside, same era.
Sapien: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, et al · 2020
Cited alongside, same era.
Motion annotation programs: A scalable approach to annotating kinematic articulations in large 3D shape collections
Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2020
Cited alongside, same era.
Manipulathor: A framework for visual object manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, and Roozbeh Mottaghi · 2021
Cited alongside, same era.
MultiBodySync: Multi-body segmentation and motion estimation via 3D scan synchronization
Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, and Leonidas Guibas · 2021
NAP: Neural 3D articulated object prior
Jiahui Lei, Congyue Deng, William B Shen, Leonidas J Guibas, and Kostas Daniilidis · 2023
Later among the works it cites.
PARIS: Part-level reconstruction and motion analysis for articulated objects
Jiayi Liu, Ali Mahdavi-Amiri, and Manolis Savva · 2023
Later among the works it cites.
RoSI: Recovering 3D shape interiors from few articulation images
Akshay Gadi Patil, Yiming Qian, Shan Yang, Brian Jackson, Eric Bennett, and Hao Zhang · 2023
Later among the works it cites.
Mask3D for 3D semantic instance segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2023
Later among the works it cites.
Swin3D: A pretrained transformer backbone for 3D indoor scene understanding
Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong, Yang Liu, Hao Pan, Peng-Shuai Wang, Xin Tong, and Baining Guo · 2023
Later among the works it cites.
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Cited alongside, same era.
iGibson, a simulation environment for interactive tasks in large realistic scenes
Bokui Shen, Fei Xia, Chengshu Li, Roberto Martın-Martın, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D’Arpino, Sanjana Srivastava, Lyne P Tchapmi, Kent Vainio, Li Fei-Fei, and Silvio Savarese · 2021
Cited alongside, same era.
Habitat 2.0: Training home assistants to rearrange their Habitat
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, and Dhruv Batra · 2021
Cited alongside, same era.
ABO: Dataset and benchmarks for real-world 3D object understanding
Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, and Jitendra Malik · 2022
Cited alongside, same era.
PartSLIP: Low-shot part segmentation for 3D point clouds via pretrained image-language models
Minghua Liu, Yinhao Zhu, H. Cai, Shizhong Han, Z. Ling, Fatih Murat Porikli, and Hao Su · 2022
Cited alongside, same era.
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
Yongsen Mao, Yiming Zhang, Hanxiao Jiang, Angel X Chang, and Manolis Savva · 2022
Cited alongside, same era.
Optimal correction cost for object detection evaluation
Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, and Shin’ichi Satoh · 2022
Cited alongside, same era.
Unsupervised kinematic motion detection for part-segmented 3D shape collections
Xianghao Xu, Yifan Ruan, Srinath Sridhar, and Daniel Ritchie · 2022
Cited alongside, same era.
Yuchen Zhou, Jiayuan Gu, Xuanlin Li, Minghua Liu, Yunhao Fang, and Hao Su · 2023
Later among the works it cites.
URDFormer: Constructing interactive realistic scenes from real images via simulation and generative modeling
Qiuyu Chen, Marius Memmel, Alex Fang, Aaron Walsman, Dieter Fox, and Abhishek Gupta · 2024
Closest in time.
Objaverse-XL: A universe of 10M+ 3D objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, et al · 2024
Closest in time.
Habitat synthetic scenes dataset (HSSD-200): An analysis of 3D scene scale and realism tradeoffs for objectgoal navigation
Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, and Manolis Savva · 2024
Closest in time.
Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, and Eric Eaton · 2024
Closest in time.
Spot-compose: A framework for open-vocabulary object retrieval and drawer manipulation in point clouds
Oliver Lemke, Zuria Bauer, René Zurbrügg, Marc Pollefeys, Francis Engelmann, and Hermann Blum · 2024
Closest in time.
CAGE: Controllable articulation generation
Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi-Amiri, and Manolis Savva · 2024
Closest in time.
OPDMulti: Openable part detection for multiple objects
Xiaohao Sun, Hanxiao Jiang, Manolis Savva, and Angel Xuan Chang · 2024
Closest in time.
Slice3D: Multi-slice, occlusion-revealing, single view 3D reconstruction
Yizhi Wang, Wallace Lira, Wenqi Wang, Ali Mahdavi-Amiri, and Hao Zhang · 2024
Closest in time.
Structured 3D latents for scalable and versatile 3D generation
Jianfeng Xiang, Zelong Lv, Sicheng Xu, Yu Deng, Ruicheng Wang, Bowen Zhang, Dong Chen, Xin Tong, and Jiaolong Yang · 2024
Closest in time.
Gamma: Generalizable articulation modeling and manipulation for articulated objects
Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, and Cewu Lu · 2024
Closest in time.
SINGAPO: Single image controlled generation of articulated parts in objects
Jiayi Liu, Denys Iliash, Angel X Chang, Manolis Savva, and Ali Mahdavi-Amiri · 2025
Closest in time.
PhysPart: Physically plausible part completion for interactable objects
Rundong Luo*, Haoran Geng*, Congyue Deng, Puhao Li, Zan Wang, Baoxiong Jia, Leonidas Guidbas, and Siyuan Huang · 2025
Closest in time.