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Building articulated objects is a key challenge in computer vision.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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A probabilistic framework for learning kinematic models of articulated objects
Jürgen Sturm, Cyrill Stachniss, and Wolfram Burgard · 2011
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Interactive segmentation, tracking, and kinematic modeling of unknown 3d articulated objects
Dov Katz, Moslem Kazemi, J Andrew Bagnell, and Anthony Stentz · 2013
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Occlusion-aware multi-view reconstruction of articulated objects for manipulation
Xiaoxia Huang, Ian Walker, and Stan Birchfield · 2014
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Learning articulated motions from visual demonstration
Sudeep Pillai, Matthew R Walter, and Seth Teller · 2015
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An integrated approach to visual perception of articulated objects
Roberto Martín-Martín, Sebastian Höfer, and Oliver Brock · 2016
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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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3d menagerie: Modeling the 3d shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David W Jacobs, and Michael J Black · 2017
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Total capture: A 3d deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 2018
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Deep part induction from articulated object pairs
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, and Leonidas Guibas · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Open3d: A modern library for 3d data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
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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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Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J Guibas, A Lynn Abbott, and Shuran Song · 2020
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Object-centric learning with slot attention
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, and Thomas Kipf · 2020
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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
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Ghum & ghuml: Generative 3d human shape and articulated pose models
Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2020
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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 · 2020
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Act the part: Learning interaction strategies for articulated object part discovery
Samir Yitzhak Gadre, Kiana Ehsani, and Shuran Song · 2021
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Screwnet: Category-independent articulation model estimation from depth images using screw theory
Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, and Scott Niekum · 2021
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Unsupervised pose-aware part decomposition for 3d articulated objects
Yuki Kawana, Yusuke Mukuta, and Tatsuya Harada · 2021
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Leap: Learning articulated occupancy of people
Marko Mihajlovic, Yan Zhang, Michael J Black, and Siyu Tang · 2021
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Where2act: From pixels to actions for articulated 3d objects
Kaichun Mo, Leonidas J Guibas, Mustafa Mukadam, Abhinav Gupta, and Shubham Tulsiani · 2021
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A-sdf: Learning disentangled signed distance functions for articulated shape representation
Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, and Xiaolong Wang · 2021
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Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
Earlier work this paper cites.
Loftr: Detector-free local feature matching with transformers
Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou · 2021
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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
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Captra: Category-level pose tracking for rigid and articulated objects from point clouds
Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, and Leonidas J Guibas · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Cited alongside, same era.
Strobenet: Category-level multiview reconstruction of articulated objects
Ge Zhang, Or Litany, Srinath Sridhar, and Leonidas Guibas · 2021
Cited alongside, same era.
Ditto: Building digital twins of articulated objects from interaction
Zhenyu Jiang, Cheng-Chun Hsu, and Yuke Zhu · 2022
Cited alongside, same era.
Narf22: Neural articulated radiance fields for configuration-aware rendering
Stanley Lewis, Jana Pavlasek, and Odest Chadwicke Jenkins · 2022
Cited alongside, same era.
Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects
Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, and Stan Birchfield · 2023
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Per-gaussian embedding-based deformation for deformable 3d gaussian splatting
Jeongmin Bae, Seoha Kim, Youngsik Yun, Hahyun Lee, Gun Bang, and Youngjung Uh · 2024
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Articulate your nerf: Unsupervised articulated object modeling via conditional view synthesis
Jianning Deng, Kartic Subr, and Hakan Bilen · 2024
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Motion-aware 3d gaussian splatting for efficient dynamic scene reconstruction
Zhiyang Guo, Wengang Zhou, Li Li, Min Wang, and Houqiang Li · 2024
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2d gaussian splatting for geometrically accurate radiance fields
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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.
Structure from action: Learning interactions for articulated object 3d structure discovery
Neil Nie, Samir Yitzhak Gadre, Kiana Ehsani, and Shuran Song · 2022
Cited alongside, same era.
Watch it move: Unsupervised discovery of 3d joints for re-posing of articulated objects
Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, and Orazio Gallo · 2022
Cited alongside, same era.
Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J Black · 2022
Cited alongside, same era.
Cla-nerf: Category-level articulated neural radiance field
Wei-Cheng Tseng, Hung-Ju Liao, Lin Yen-Chen, and Min Sun · 2022
Cited alongside, same era.
Self-supervised neural articulated shape and appearance models
Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard Newcombe, and Mira Slavcheva · 2022
Cited alongside, same era.
Banmo: Building animatable 3d neural models from many casual videos
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, and Hanbyul Joo · 2022
Cited alongside, same era.
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao · 2024
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Sceneverse: Scaling 3d vision-language learning for grounded scene understanding
Baoxiong Jia, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu, Qing Li, and Siyuan Huang · 2024
Later among the works it cites.
Vr-gs: a physical dynamics-aware interactive gaussian splatting system in virtual reality
Ying Jiang, Chang Yu, Tianyi Xie, Xuan Li, Yutao Feng, Huamin Wang, Minchen Li, Henry Lau, Feng Gao, Yin Yang, et al · 2024
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Robot see robot do: Imitating articulated object manipulation with monocular 4d reconstruction
Justin Kerr, Chung Min Kim, Mingxuan Wu, Brent Yi, Qianqian Wang, Ken Goldberg, and Angjoo Kanazawa · 2024
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Gart: Gaussian articulated template models
Jiahui Lei, Yufu Wang, Georgios Pavlakos, Lingjie Liu, and Kostas Daniilidis · 2024
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Spacetime gaussian feature splatting for real-time dynamic view synthesis
Zhan Li, Zhang Chen, Zhong Li, and Yi Xu · 2024
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Multi-modal situated reasoning in 3d scenes
Xiongkun Linghu, Jiangyong Huang, Xuesong Niu, Xiaojian Ma, Baoxiong Jia, and Siyuan Huang · 2024
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Cage: Controllable articulation generation
Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi-Amiri, and Manolis Savva · 2024
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Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2024
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Real2code: Reconstruct articulated objects via code generation
Zhao Mandi, Yijia Weng, Dominik Bauer, and Shuran Song · 2024
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Phyrecon: Physically plausible neural scene reconstruction
Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Puhao Li, Yixin Zhu, Song-Chun Zhu, and Siyuan Huang · 2024
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3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting
Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, and Siyu Tang · 2024
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Reacto: Reconstructing articulated objects from a single video
Chaoyue Song, Jiacheng Wei, Chuan Sheng Foo, Guosheng Lin, and Fayao Liu · 2024
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Leia: Latent view-invariant embeddings for implicit 3d articulation
Archana Swaminathan, Anubhav Gupta, Kamal Gupta, Shishira R Maiya, Vatsal Agarwal, and Abhinav Shrivastava · 2024
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Reconciling reality through simulation: A real-to-sim-to-real approach for robust manipulation
Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, and Pulkit Agrawal · 2024
Later among the works it cites.
Neural implicit representation for building digital twins of unknown articulated objects
Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas Guibas, and Stan Birchfield · 2024
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4d gaussian splatting for real-time dynamic scene rendering
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang · 2024
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Physgaussian: Physics-integrated 3d gaussians for generative dynamics
Tianyi Xie, Zeshun Zong, Yuxing Qiu, Xuan Li, Yutao Feng, Yin Yang, and Chenfanfu Jiang · 2024
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Tac-man: Tactile-informed prior-free manipulation of articulated objects
Zihang Zhao, Yuyang Li, Wanlin Li, Zhenghao Qi, Lecheng Ruan, Yixin Zhu, and Kaspar Althoefer · 2024
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Unifying 3d vision-language understanding via promptable queries
Ziyu Zhu, Zhuofan Zhang, Xiaojian Ma, Xuesong Niu, Yixin Chen, Baoxiong Jia, Zhidong Deng, Siyuan Huang, and Qing Li · 2024
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Slotlifter: Slot-guided feature lifting for learning object-centric radiance fields
Yu Liu, Baoxiong Jia, Yixin Chen, and Siyuan Huang · 2025
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Physpart: Physically plausible part completion for interactable objects
Rundong Luo, Haoran Geng, Congyue Deng, Puhao Li, Zan Wang, Baoxiong Jia, Leonidas Guibas, and Siyuang Huang · 2025
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