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Digitizing physical objects into the virtual world has the potential to unlock new research and applications in embodied AI and mixed reality.
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Jurgen Sturm, Christian Plagemann, and Wolfram Burgard · 2008
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Jürgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, and Wolfram Burgard · 2009
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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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Xiaoxia Huang, Ian Walker, and Stan Birchfield · 2012
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Roberto Martín-Martín and Oliver Brock · 2014
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Roberto Martín-Martín, Sebastian Höfer, and Oliver Brock · 2016
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Interactive perception: Leveraging action in perception and perception in action
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Ai2-thor: An interactive 3d environment for visual ai
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Minos: Multimodal indoor simulator for navigation in complex environments
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Marrnet: 3d shape reconstruction via 2.5 d sketches
Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T Freeman, and Joshua B Tenenbaum · 2017
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J Lim, Abhinav Gupta, Li Fei-Fei, and Ali Farhadi · 2017
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J Black, David W Jacobs, and Jitendra Malik · 2018
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Screwnet: Category-independent articulation model estimation from depth images using screw theory
Ajinkya Jain, Rudolf Lioutikov, and Scott Niekum · 2020
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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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Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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Nothing but geometric constraints: A model-free method for articulated object pose estimation
Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D Hager, and Alan L Yuille · 2020
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Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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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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Learning to generalize kinematic models to novel objects
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Learning implicit fields for generative shape modeling
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Fully convolutional geometric features
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Meta-sim: Learning to generate synthetic datasets
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Implicit neural representations with periodic activation functions
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Sapien: A simulated part-based interactive environment
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robosuite: A modular simulation framework and benchmark for robot learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar, and Roberto Martín-Martín · 2020
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Neural deformation graphs for globally-consistent non-rigid reconstruction
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Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, and Jonathan Tompson · 2021
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Act the part: Learning interaction strategies for articulated object part discovery
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Distributional depth-based estimation of object articulation models
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Synergies between affordance and geometry: 6-dof grasp detection via implicit representations
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igibson 2.0: Object-centric simulation for robot learning of everyday household tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, et al · 2021
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Neural articulated radiance field
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Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, and Joshua M. Susskind · 2021
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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
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Lasr: Learning articulated shape reconstruction from a monocular video
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Banmo: Building animatable 3d neural models from many casual videos
Gengshan Yang, Minh Vo, Neverova Natalia, Deva Ramanan, Vedaldi Andrea, and Joo Hanbyul · 2021
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