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We propose a novel learnable representation for detail-preserving shape deformation.
Deformation transfer for triangle meshes
Robert W. Sumner and Jovan Popović · 2004
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Mean value coordinates for closed triangular meshes
Tao Ju, Scott Schaefer, and Joe Warren · 2005
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Harmonic coordinates for character articulation
Pushkar Joshi, Mark Meyer, Tony DeRose, Brian Green, and Tom Sanocki · 2007
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As-rigid-as-possible surface modeling
Olga Sorkine and Marc Alexa · 2007
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Non-rigid registration under isometric deformations
Qi-Xing Huang, Bart Adams, Martin Wicke, and Leonidas J. Guibas · 2008
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Global correspondence optimization for non-rigid registration of depth scans
Hao Li, Robert W. Sumner, and Mark Pauly · 2008
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Green coordinates
Yaron Lipman, David Levin, and Daniel Cohen-Or · 2008
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Interactive shape modeling and deformation
Olga Sorkine and Mario Botsch · 2009
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Style-content separation by anisotropic part scales
Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, and Zhi-Quan Cheng · 2010
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Temporally coherent completion of dynamic shapes
Hao Li, Linjie Luo, Daniel Vlasic, Pieter Peers, Jovan Popović, Mark Pauly, and Szymon Rusinkiewicz · 2012
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CageR: Cage-based reverse engineering of animated 3D shapes
Jean-Marc Thiery, Julien Tierny, and Tamy Boubekeur · 2012
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Automatic cage generation by improved OBBs for mesh deformation
Chuhua Xian, Hongwei Lin, and Shuming Gao · 2012
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FAUST: Dataset and evaluation for 3D mesh registration
Federica Bogo, Javier Romero, Matthew Loper, and Michael J Black · 2014
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Interactive shape co-segmentation via label propagation
Zizhao Wu, Ruyang Shou, Yunhai Wang, and Xinguo Liu · 2014
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Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 2014
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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, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Cited alongside, same era.
Single-view reconstruction via joint analysis of image and shape collections
Qixing Huang, Hai Wang, and Vladlen Koltun · 2015
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Nested cages
Learning local shape descriptors from part correspondences with multiview convolutional networks
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G Kim, and Ersin Yumer · 2018
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Learning free-form deformations for 3D object reconstruction
Dominic Jack, Jhony K Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frederic Maire, and Anders Eriksson · 2018
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Variational autoencoders for deforming 3D mesh models
Qingyang Tan, Lin Gao, Yu-Kun Lai, and Shihong Xia · 2018
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Pixel2Mesh: Generating 3D mesh models from single RGB images
Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang · 2018
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SCORES: Shape composition with recursive substructure priors
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, and Hao Zhang · 2018
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Leonardo Sacht, Etienne Vouga, and Alec Jacobson · 2015
Cited alongside, same era.
Learning semantic deformation flows with 3D convolutional networks
M. E. Yumer and N. J. Mitra · 2016
Cited alongside, same era.
Bounding proxies for shape approximation
Stéphane Calderon and Tamy Boubekeur · 2017
Cited alongside, same era.
Automatic unpaired shape deformation transfer
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L Rosin, Weiwei Xu, and Shihong Xia · 2018
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3D-CODED: 3D correspondences by deep deformation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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AtlasNet: A papier-mâché approach to learning 3D surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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ALIGNet: partial-shape agnostic alignment via unsupervised learning
Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or · 2018
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Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, and Hao(Richard) Zhang · 2019
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Unsupervised cycle-consistent deformation for shape matching
Thibault Groueix, Matthew Fisher, Vladimir Kim, Bryan Russell, and Mathieu Aubry · 2019
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Soft Rasterizer: A differentiable renderer for image-based 3D reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
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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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Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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3DN: 3D deformation network
Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
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LOGAN: Unpaired shape transform in latent overcomplete space
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, and Hao Zhang · 2019
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