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Deep generative models have shown success in generating 3D shapes with different representations.
A comparison of tetrahedron quality measures
VN Parthasarathy, CM Graichen, and AF Hathaway · 1994
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Multiple view geometry in computer vision
Richard Hartley and Andrew Zisserman · 2003
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Harmonic volumetric mapping for solid modeling applications
Xin Li, Xiaohu Guo, Hongyu Wang, Ying He, Xianfeng Gu, and Hong Qin · 2007
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Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
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3d reconstruction from multiple images part 1: Principles
Theo Moons, Luc Van Gool, Maarten Vergauwen, et al · 2010
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Cubecover–parameterization of 3d volumes
Matthias Nieser, Ulrich Reitebuch, and Konrad Polthier · 2011
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Injective and bounded distortion mappings in 3d
Noam Aigerman and Yaron Lipman · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Tetgen, a delaunay-based quality tetrahedral mesh generator
Si Hang · 2015
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Generative and discriminative voxel modeling with convolutional neural networks
Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston · 2016
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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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beta-vae: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T Freeman, and Joshua B Tenenbaum · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Volumetric mesh parameterization to a canonical template
Sayed Mazdak Abulnaga · 2018
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Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Tetrahedral meshing in the wild
Yixin Hu, Qingnan Zhou, Xifeng Gao, Alec Jacobson, Denis Zorin, and Daniele Panozzo · 2018
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Learning category-specific mesh reconstruction from image collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 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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Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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Point-based multi-view stereo network
Rui Chen, Songfang Han, Jing Xu, and Hao Su · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Flow++: Improving flow-based generative models with variational dequantization and architecture design
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, and Pieter Abbeel · 2019
Cited alongside, same era.
Deep mesh reconstruction from single rgb images via topology modification networks
Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, and Kui Jia · 2019
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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Polygen: An autoregressive generative model of 3d meshes
Charlie Nash, Yaroslav Ganin, SM Ali Eslami, and Peter Battaglia · 2020
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Meshsdf: Differentiable iso-surface extraction
Edoardo Remelli, Artem Lukoianov, Stephan Richter, Benoît Guillard, Timur Bagautdinov, Pierre Baque, and Pascal Fua · 2020
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Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 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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Score-based generative modeling through stochastic differential equations
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Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Cited alongside, same era.
Geometrics: Exploiting geometric structure for graph-encoded objects
Edward J Smith, Scott Fujimoto, Adriana Romero, and David Meger · 2019
Cited alongside, same era.
Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
Cited alongside, same era.
Pixel2mesh++: Multi-view 3d mesh generation via deformation
Chao Wen, Yinda Zhang, Zhuwen Li, and Yanwei Fu · 2019
Cited alongside, same era.
Deep geometric prior for surface reconstruction
Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, and Daniele Panozzo · 2019
Cited alongside, same era.
Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
Cited alongside, same era.
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Deformation-aware 3d model embedding and retrieval
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, and Leonidas Guibas · 2020
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Deep generative modeling for scene synthesis via hybrid representations
Zaiwei Zhang, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, and Qixing Huang · 2020
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Neural marching cubes
Zhiqin Chen and Hao Zhang · 2021
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Decor-gan: 3d shape detailization by conditional refinement
Zhiqin Chen, Vladimir G Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, and Siddhartha Chaudhuri · 2021
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Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole · 2021
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Codimensional incremental potential contact
Minchen Li, Danny M. Kaufman, and Chenfanfu Jiang · 2021
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Robust amp; asymptotically locally optimal uav-trajectory generation based on spline subdivision
Ruiqi Ni, Teseo Schneider, Daniele Panozzo, Zherong Pan, and Xifeng Gao · 2021
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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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Geometric granularity aware pixel-to-mesh
Yue Shi, Bingbing Ni, Jinxian Liu, Dingyi Rong, Ye Qian, and Wenjun Zhang · 2021
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Deep implicit surface point prediction networks
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R Venkatesh Babu, László A Jeni, and Maneesh Singh · 2021
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Scene synthesis via uncertainty-driven attribute synchronization
Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, and Qixing Huang · 2021
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3d shape generation and completion through point-voxel diffusion
Linqi Zhou, Yilun Du, and Jiajun Wu · 2021
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Neural dual contouring
Zhiqin Chen, Andrea Tagliasacchi, Thomas Funkhouser, and Hao Zhang · 2022
Closest in time.
Get3d: A generative model of high quality 3d textured shapes learned from images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler · 2022
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