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Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D reconstruction.
Method for registration of 3-d shapes
Paul J Besl and Neil D McKay · 1992
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Reducing data dimensionality through optimizing neural network inputs
Shufeng Tan and Michael L Mayrovouniotis · 1995
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Sphere tracing: A geometric method for the antialiased ray tracing of implicit surfaces
John C Hart · 1996
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Optimal step nonrigid icp algorithms for surface registration
Brian Amberg, Sami Romdhani, and Thomas Vetter · 2007
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A 3d face model for pose and illumination invariant face recognition
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami Romdhani, and Thomas Vetter · 2009
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Stochastic exploration of ambiguities for nonrigid shape recovery
Francesc Moreno-Noguer and Pascal Fua · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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A 3d morphable model learnt from 10,000 faces
James Booth, Anastasios Roussos, Stefanos Zafeiriou, Allan Ponniah, and David Dunaway · 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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3d face reconstruction by learning from synthetic data
Elad Richardson, Matan Sela, and Ron Kimmel · 2016
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
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3d face morphable models” in-the-wild”
James Booth, Epameinondas Antonakos, Stylianos Ploumpis, George Trigeorgis, Yannis Panagakis, and Stefanos Zafeiriou · 2017
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Geometric deep learning: going beyond euclidean data
Michael M Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Hierarchical surface prediction for 3d object reconstruction
Christian Häne, Shubham Tulsiani, and Jitendra Malik · 2017
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Large pose 3d face reconstruction from a single image via direct volumetric cnn regression
Aaron S Jackson, Adrian Bulat, Vasileios Argyriou, and Georgios Tzimiropoulos · 2017
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Learning a multi-view stereo machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
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Learning a model of facial shape and expression from 4d scans
Tianye Li, Timo Bolkart, Michael J Black, Hao Li, and Javier Romero · 2017
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Learning detailed face reconstruction from a single image
Elad Richardson, Matan Sela, Roy Or-El, and Ron Kimmel · 2017
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Unrestricted facial geometry reconstruction using image-to-image translation
Matan Sela, Elad Richardson, and Ron Kimmel · 2017
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Mofa: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction
Ayush Tewari, Michael Zollhofer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Perez, and Christian Theobalt · 2017
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Regressing robust and discriminative 3d morphable models with a very deep neural network
Anh Tuan Tran, Tal Hassner, Iacopo Masi, and Gérard Medioni · 2017
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Multi-view 3d face reconstruction with deep recurrent neural networks
Pengfei Dou and Ioannis A Kakadiaris · 2018
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Learning category-specific mesh reconstruction from image collections
Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Towards high-fidelity nonlinear 3d face morphable model
Luan Tran, Feng Liu, and Xiaoming Liu · 2019
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On learning 3d face morphable model from in-the-wild images
Luan Tran and Xiaoming Liu · 2019
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3d dense face alignment via graph convolution networks
Huawei Wei, Shuang Liang, and Yichen Wei · 2019
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Mvf-net: Multi-view 3d face morphable model regression
Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, and Wei Liu · 2019
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Sal: Sign agnostic learning of shapes from raw data
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Angjoo Kanazawa, Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 2018
Cited alongside, same era.
Geometry-aware network for non-rigid shape prediction from a single view
Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu, Vincent Lepetit, and Francesc Moreno-Noguer · 2018
Cited alongside, same era.
Extreme 3d face reconstruction: Seeing through occlusions
Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, and Gérard G Medioni · 2018
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Nonlinear 3d face morphable model
Luan Tran and Xiaoming Liu · 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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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Deep meta functionals for shape representation
Gidi Littwin and Lior Wolf · 2019
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Matan Atzmon and Yaron Lipman · 2020
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Deep facial non-rigid multi-view stereo
Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, and Ping Tan · 2020
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Faster, better and more detailed: 3d face reconstruction with graph convolutional networks
Shiyang Cheng, Georgios Tzimiropoulos, Jie Shen, and Maja Pantic · 2020
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Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
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Towards high-fidelity 3d face reconstruction from in-the-wild images using graph convolutional networks
Jiangke Lin, Yi Yuan, Tianjia Shao, and Kun Zhou · 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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C-flow: Conditional generative flow models for images and 3d point clouds
Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, and Vittorio Ferrari · 2020
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Metasdf: Meta-learning signed distance functions
Vincent Sitzmann, Eric R Chan, Richard Tucker, Noah Snavely, and Gordon Wetzstein · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T Barron, and Ren Ng · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman · 2020
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i3dmm: Deep implicit 3d morphable model of human heads
Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed Elgharib, Daniel Cremers, and Christian Theobalt · 2020
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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