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NeRF provides unparalleled fidelity of novel view synthesis: rendering a 3D scene from an arbitrary viewpoint.
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, M. Zollhöfer, and G. Wetzstein · 1906
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Light Reflection Functions for Simulation of Clouds and Dusty Surfaces
James F. Blinn · 1982
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2010
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2010
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GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
Alex Trevithick and B. Yang · 2010
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On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomás Mikolov, and Yoshua Bengio · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Variational Inference with Normalizing Flows
Danilo Jimenez Rezende and Shakir Mohamed · 2015
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Density estimation using Real NVP
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Neural scene representation and rendering
SM Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S Morcos, Marta Garnelo, Avraham Ruderman, Andrei A Rusu, Ivo Danihelka, Karol Gregor, et al · 2018
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Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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Learning models for visual 3D localization with implicit mapping
Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, and S. M. Ali Eslami · 2018
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MONET: Unsupervised scene decomposition and representation
Christopher P Burgess, Loic Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, and Alexander Lerchner · 2019
Cited alongside, same era.
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
Cited alongside, same era.
Exchangeable Generative Models with Flow Scans
Christopher M. Bender, Kevin O’Connor, Yang Li, Juan Jose Garcia, Junier Oliva, and Manzil Zaheer · 2020
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Epipolar Transformers
Yihui He, Rui Yan, Katerina Fragkiadaki, and Shoou-I Yu · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
ACORN: Adaptive Coordinate Networks for Neural Scene Representation
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric Chan, Marco Monteiro, and Gordon Wetzstein · 2021
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Normalizing flows for probabilistic modeling and inference
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, and Balaji Lakshminarayanan · 2021
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Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
Karl Stelzner, Kristian Kersting, and Adam R. Kosiorek · 2021
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Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
Haithem Turki, Deva Ramanan, and Mahadev Satyanarayanan · 2021
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IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas A. Funkhouser · 2021
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Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, and Andreas Geiger · 2020
Cited alongside, same era.
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat and Jan Kautz · 2020
Cited alongside, same era.
Targeted free energy estimation via learned mappings
Peter Wirnsberger, Andrew J. Ballard, George Papamakarios, Stuart Abercrombie, Sébastien Racanière, Alexander Pritzel, Danilo Jimenez Rezende, and Charles Blundell · 2020
Cited alongside, same era.
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
Cited alongside, same era.
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, and Patrick van der Smagt · 2021
Cited alongside, same era.
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, and Hao Su · 2021
Cited alongside, same era.
Attention over learned object embeddings enables complex visual reasoning
David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, and Matt Botvinick · 2021
Cited alongside, same era.
Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J Ballard, Alexander Pritzel, and Charles Blundell · 2021
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CityNeRF: Building NeRF at City Scale
Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin · 2021
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pixelNeRF: Neural Radiance Fields From One or Few Images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
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GAUDI: A Neural Architect for Immersive 3D Scene Generation
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, and Josh Susskind · 2022
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TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, and Xiao Liu · 2022
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From data to functa: Your data point is a function and you should treat it like one
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, and Dan Rosenbaum · 2022
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LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, and Arnaud de La Fortelle · 2022
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Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, and Henrik Kretzschmar · 2022
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MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
Xiaofeng Wang, Zheng Zhu, Fangbo Qin, Yun Ye, Guan Huang, Xu Chi, Yijia He, and Xingang Wang · 2022
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RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, and Kai Xu · 2022
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