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Articulated objects exist widely in the real world.
Machine perception of three-dimensional solids
Lawrence G Roberts · 1963
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I Binford · 1971
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Movement perception and identity constancy in the new-born baby
Alan Slater, Victoria Morison, Carole Town, and David Rose · 1985
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Marching cubes: A high resolution 3d surface construction algorithm
William E. Lorensen and Harvey E. Cline · 1987
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Self-organizing neural network that discovers surfaces in random-dot stereograms
Suzanna Becker and Geoffrey E Hinton · 1992
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Spatiotemporal continuity, smoothness of motion and object identity in infancy
Elizabeth S Spelke, Roberta Kestenbaum, Daniel J Simons, and Debra Wein · 1995
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Fei Xu and Susan Carey · 1996
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Activation in human mt/mst by static images with implied motion
Zoe Kourtzi and Nancy Kanwisher · 2000
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Modeling by example
Thomas Funkhouser, Michael Kazhdan, Philip Shilane, Patrick Min, William Kiefer, Ayellet Tal, Szymon Rusinkiewicz, and David Dobkin · 2004
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Implied motion perception from a still image in infancy
Nobu Shirai and Tomoko Imura · 2014
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
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Pose estimation of kinematic chain instances via object coordinate regression
Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, and Carsten Rother · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J. Black · 2016
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Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
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Scene flow estimation: A survey
Zike Yan and Xuezhi Xiang · 2016
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Learning shape abstractions by assembling volumetric primitives
Shubham Tulsiani, Hao Su, Leonidas J Guibas, Alexei A Efros, and Jitendra Malik · 2017
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3d point cloud generative adversarial network based on tree structured graph convolutions
Dong Wook Shu, Sung Woo Park, and Junseok Kwon · 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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Three-d safari: Learning to estimate zebra pose, shape, and texture from images” in the wild”
Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, and Michael J Black · 2019
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Learning to generalize kinematic models to novel objects
Ben Abbatematteo, Stefanie Tellex, and George Konidaris · 2020
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Bsp-net: Generating compact meshes via binary space partitioning
Zhiqin Chen, Andrea Tagliasacchi, and Hao Zhang · 2020
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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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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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The rbo dataset of articulated objects and interactions
Roberto Martín-Martín, Clemens Eppner, and Oliver Brock · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Im2struct: Recovering 3d shape structure from a single rgb image
Chengjie Niu, Jun Li, and Kai Xu · 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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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Neural star domain as primitive representation
Yuki Kawana, Yusuke Mukuta, and Tatsuya Harada · 2020
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Adversarial generation of continuous implicit shape representations
Marian Kleineberg, Matthias Fey, and Frank Weichert · 2020
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Articulation-aware canonical surface mapping
Nilesh Kulkarni, Abhinav Gupta, David F Fouhey, and Shubham Tulsiani · 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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Structedit: Learning structural shape variations
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J Mitra, and Leonidas J Guibas · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 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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Neural deformation graphs for globally-consistent non-rigid reconstruction
Aljaž Božič, Pablo Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, and Matthias Nießner · 2021
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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 J Guibas · 2021
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Neural parts: Learning expressive 3d shape abstractions with invertible neural networks
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, and Sanja Fidler · 2021
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