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Neural representations have emerged as a new paradigm for applications in rendering, imaging, geometric modeling, and simulation.
Adaptive mesh refinement for hyperbolic partial differential equations
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Marching cubes: A high resolution 3D surface construction algorithm
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Marching cubes: A high resolution 3D surface construction algorithm
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Adaptive Moving Mesh Methods
Weizhang Huang and Robert D. Russell. 2010 · 2010
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Screened poisson surface reconstruction
Michael Kazhdan and Hugues Hoppe. 2013 · 2013
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Screened poisson surface reconstruction
Michael Kazhdan and Hugues Hoppe. 2013 · 2013
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Adam: A Method for Stochastic Optimization. In Proc. ICLR
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Stanford 3D Scanning Repository
Stanford Computer Graphics Laboratory. 2014 · 2014
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Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding. In Proc. ICLR
Song Han, Huizi Mao, and William J. Dally. 2016 · 2016
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Neural scene representation and rendering
S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S. Morcos, Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor, David P. Reichert, Lars Buesing, Theophane Weber, Oriol Vinyals, Dan Rosenbaum, Neil Rabinowitz, Helen King, Chloe Hillier, Matt Botvinick, Daan Wierstra, Koray Kavukcuoglu, and Demis Hassabis. 2018 · 2018
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Deep blending for free-viewpoint image-based rendering
Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow. 2018 · 2018
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Stereo magnification: Learning view synthesis using multiplane images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely. 2018 · 2018
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Learning implicit fields for generative shape modeling. In Proc. CVPR
Zhiqin Chen and Hao Zhang. 2019 · 2019
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Deepview: View synthesis with learned gradient descent. In Proc. CVPR
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker. 2019 · 2019
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Escaping Plato’s cave: 3D shape from adversarial rendering. In Proc. ICCV
Philipp Henzler, Niloy J. Mitra, and Tobias Ritschel. 2019 · 2019
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Deep fluids: A generative network for parameterized fluid simulations
Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus Gross, and Barbara Solenthaler. 2019 · 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 · 2019
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Occupancy networks: Learning 3D reconstruction in function space. In Proc. CVPR
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019 · 2019
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Implicit surface representations as layers in neural networks. In Proc. ICCV
Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, and Anders Eriksson. 2019 · 2019
Cited alongside, same era.
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar. 2019 · 2019
Cited alongside, same era.
Texture fields: Learning texture representations in function space. In Proc. ICCV
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger. 2019 · 2019
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DeepSDF: Learning continuous signed distance functions for shape representation. In Proc. CVPR
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove. 2019 · 2019
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BlockGAN: Learning 3D object-aware scene representations from unlabelled images. In Proc. NeurIPS
Thu Nguyen-Phuoc, Christian Richardt, Long Mai, Yong-Liang Yang, and Niloy Mitra. 2020 · 2020
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Convolutional occupancy networks. In Proc. ECCV
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger. 2020 · 2020
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Free view synthesis. In Proc. ECCV
Gernot Riegler and Vladlen Koltun. 2020 · 2020
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GRAF: Generative radiance fields for 3D-aware image synthesis. In Proc. NeurIPS
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger. 2020 · 2020
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Implicit neural representations with periodic activation functions. In Proc. NeurIPS
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein. 2020 · 2020
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PIFu: Pixel-aligned implicit function for high-resolution clothed human digitization. In Proc. ICCV
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li. 2019 · 2019
Cited alongside, same era.
Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner. 2019 · 2019
Cited alongside, same era.
MatryODShka: Real-time 6DoF video view synthesis using multi-sphere images. In Proc. ECCV
Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, and James Tompkin. 2020 · 2020
Cited alongside, same era.
SAL: Sign agnostic learning of shapes from raw data. In Proc. CVPR
Matan Atzmon and Yaron Lipman. 2020 · 2020
Cited alongside, same era.
Immersive light field video with a layered mesh representation
Michael Broxton, John Flynn, Ryan Overbeck, Daniel Erickson, Peter Hedman, Matthew Duvall, Jason Dourgarian, Jay Busch, Matt Whalen, and Paul Debevec. 2020 · 2020
Cited alongside, same era.
Deep local shapes: Learning local SDF priors for detailed 3D reconstruction. In Proc. ECCV
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe. 2020 · 2020
Cited alongside, same era.
Overfit neural networks as a compact shape representation
Thomas Davies, Derek Nowrouzezahrai, and Alec Jacobson. 2020 · 2020
Cited alongside, same era.
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng. 2020 · 2020
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State of the art on neural rendering
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, et al · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance. In Proc. NeurIPS
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, and Yaron Lipman. 2020 · 2020
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NeRF: Representing scenes as neural radiance fields for view synthesis. In Proc. ECCV
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
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Convolutional occupancy networks. In Proc. ECCV
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger. 2020 · 2020
Later among the works it cites.
Implicit neural representations with periodic activation functions. In Proc. NeurIPS
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein. 2020 · 2020
Later among the works it cites.
pi-GAN: Periodic implicit generative adversarial networks for 3D-aware image synthesis. In Proc. CVPR
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein. 2021 · 2021
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Learning continuous image representation with local implicit image function. In Proc. CVPR
Yinbo Chen, Sifei Liu, and Xiaolong Wang. 2021 · 2021
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Gurobi Optimizer Reference Manual
LLC Gurobi Optimization. 2021 · 2021
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Neural Lumigraph Rendering. In CVPR
Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, and Gordon Wetzstein. 2021 · 2021
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Neural geometric level of detail: Real-time rendering with implicit 3D shapes. In Proc. CVPR
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, and Sanja Fidler. 2021 · 2021
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Neural light transport for relighting and view synthesis
Xiuming Zhang, Sean Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul Debevec, Jonathan T. Barron, Ravi Ramamoorthi, and William T. Freeman. 2021 · 2021
Closest in time.