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3D shape representations that accommodate learning-based 3D reconstruction are an open problem in machine learning and computer graphics.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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An efficient method of triangulating equi-valued surfaces by using tetrahedral cells
Akio Doi and Akio Koide · 1991
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Computational grids: generations, adaptation & solution strategies
Graham F Carey · 1997
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A survey of unstructured mesh generation technology
Steven J Owen · 1998
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Tetrahedral mesh generation for deformable bodies
Neil Molino, Robert Bridson, and Ronald Fedkiw · 2003
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Mesh enhancement: Selected elliptic methods, foundations and applications, 2005
Glen A Hansen, Rod W Douglass, and Andrew Zardecki · 2005
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Poisson surface reconstruction
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe · 2006
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Isosurface stuffing: fast tetrahedral meshes with good dihedral angles
François Labelle and Jonathan Richard Shewchuk · 2007
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Delaunay mesh generation
Siu-Wing Cheng, Tamal K Dey, and Jonathan Shewchuk · 2012
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Fem simulation of 3d deformable solids: a practitioner’s guide to theory, discretization and model reduction
Eftychios Sifakis and Jernej Barbic · 2012
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Isosurface stuffing improved: acute lattices and feature matching
Crawford Doran, Athena Chang, and Robert Bridson · 2013
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Robust inside-outside segmentation using generalized winding numbers
Alec Jacobson, Ladislav Kavan, and Olga Sorkine-Hornung · 2013
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Screened poisson surface reconstruction
Michael Kazhdan and Hugues Hoppe · 2013
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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
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Computing locally injective mappings by advanced mips
Xiao-Ming Fu, Yang Liu, and Baining Guo · 2015
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Tetgen, a delaunay-based quality tetrahedral mesh generator
Hang Si · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Mesh arrangements for solid geometry
Qingnan Zhou, Eitan Grinspun, Denis Zorin, and Alec Jacobson · 2016
Cited alongside, same era.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
Cited alongside, same era.
Octnet: Learning deep 3d representations at high resolutions
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger · 2017
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Multi-view supervision for single-view reconstruction via differentiable ray consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A Efros, and Jitendra Malik · 2017
Cited alongside, same era.
O-cnn: Octree-based convolutional neural networks for 3d shape analysis
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, and Xin Tong · 2017
Cited alongside, same era.
Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
Kaolin: A pytorch library for accelerating 3d deep learning research
Krishna Murthy J., Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, and Sanja Fidler · 2019
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Fast interactive object annotation with curve-gcn
Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, and Sanja Fidler · 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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Point-voxel cnn for efficient 3d deep learning
Zhijian Liu, Haotian Tang, Yujun Lin, and Song Han · 2019
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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
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Cited alongside, same era.
A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
Cited alongside, same era.
Tetrahedral meshing in the wild
Yixin Hu, Qingnan Zhou, Xifeng Gao, Alec Jacobson, Denis Zorin, and Daniele Panozzo · 2018
Cited alongside, same era.
End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J Black, David W Jacobs, and Jitendra Malik · 2018
Cited alongside, same era.
Neural 3d mesh renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
Cited alongside, same era.
Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabas Poczos, and Ruslan Salakhutdinov · 2018
Cited alongside, same era.
Deep marching cubes: Learning explicit surface representations
Yiyi Liao, Simon Donné, and Andreas Geiger · 2018
Cited alongside, same era.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Deep mesh reconstruction from single rgb images via topology modification networks
Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, and Kui Jia · 2019
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Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
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Beyond fixed grid: Learning geometric image representation with a deformable grid
Jun Gao, Zian Wang, Jinchen Xuan, and Sanja Fidler · 2020
Closest in time.
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, and Jian Jun Zhang · 2020
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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Interactive annotation of 3d object geometry using 2d scribbles
Tianchang Shen, Jun Gao, Amlan Kar, and Sanja Fidler · 2020
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Image gans meet differentiable rendering for inverse graphics and interpretable 3d neural rendering
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, and Sanja Fidler · 2020
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