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Neural radiance fields enable state-of-the-art photorealistic view synthesis.
Optical models for direct volume rendering
Nelson Max. 1995 · 1995
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The lumigraph
Steven J. Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F. Cohen. 1996 · 1996
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Light field rendering
Marc Levoy and Pat Hanrahan. 1996 · 1996
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Efficient view-dependent image-based rendering with projective texture-mapping
Paul Debevec, Yizhou Yu, and George Borshukov. 1998 · 1998
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Unstructured Lumigraph Rendering
Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen. 2001 · 2001
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Sea of images
D.G. Aliaga, T. Funkhouser, D. Yanovsky, and I. Carlbom. 2002 · 2002
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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 · 2004
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville. 2013 · 2013
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Depth Synthesis and Local Warps for Plausible Image-Based Navigation
Gaurav Chaurasia, Sylvain Duchene, Olga Sorkine-Hornung, and George Drettakis. 2013 · 2013
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Adam: A Method for Stochastic Optimization. In ICLR
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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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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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang. 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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DeepView: View synthesis with learned gradient descent
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker. 2019 · 2019
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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
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Understanding straight-through estimator in training activation quantized neural nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley Osher, Yingyong Qi, and Jack Xin. 2019 · 2019
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MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images
Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, and James Tompkin. 2020 · 2020
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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
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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 · 2020
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Convolutional Occupancy Networks
Lars Mescheder Marc Pollefeys Andreas Geiger Songyou Peng, Michael Niemeyer. 2020 · 2020
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NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020 · 2020
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Unconstrained Scene Generation with Locally Conditioned Radiance Fields
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W. Taylor, and Joshua M. Susskind. 2021 · 2021
Cited alongside, same era.
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin. 2021 · 2021
Cited alongside, same era.
Baking Neural Radiance Fields for Real-Time View Synthesis
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul Debevec. 2021 · 2021
Cited alongside, same era.
AutoInt: Automatic Integration for Fast Neural Rendering
David B. Lindell, Julien N.P. Martel, and Gordon Wetzstein. 2021 · 2021
Cited alongside, same era.
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth. 2021 · 2021
Cited alongside, same era.
Compressing Volumetric Radiance Fields to 1 MB
Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, and Liefeng Bo. 2022b · 2022
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NerfAcc: A General NeRF Accleration Toolbox
Ruilong Li, Matthew Tancik, and Angjoo Kanazawa. 2022d · 2022
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SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
Sicheng Li, Hao Li, Yue Wang, Yiyi Liao, and Lu Yu. 2022a · 2022
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NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field
Zhong Li, Liangchen Song, Celong Liu, Junsong Yuan, and Yi Xu. 2022c · 2022
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NeurMiPs: Neural Mixture of Planar Experts for View Synthesis
Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, and Shenlong Wang. 2022 · 2022
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Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H. Mueller, Chakravarty R. Alla Chaitanya, Anton Kaplanyan, and Markus Steinberger. 2021 · 2021
Cited alongside, same era.
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering
Martin Piala and Ronald Clark. 2021 · 2021
Cited alongside, same era.
KiloNeRF: Speeding up neural radiance fields with thousands of tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021
Cited alongside, same era.
Stable view synthesis
Gernot Riegler and Vladlen Koltun. 2021 · 2021
Cited alongside, same era.
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, and Fredo Durand. 2021 · 2021
Cited alongside, same era.
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021 · 2021
Cited alongside, same era.
NeX: Real-time View Synthesis with Neural Basis Expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
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Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, and Sanja Fidler. 2022 · 2022
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ADOP: Approximate differentiable one-pixel point rendering
Darius Rückert, Linus Franke, and Marc Stamminger. 2022 · 2022
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2022 · 2022
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Variable Bitrate Neural Fields
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, and Sanja Fidler. 2022 · 2022
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Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul Srinivasan, Jonathan T. Barron, and Henrik Kretzschmar. 2022 · 2022
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Advances in neural rendering
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, W Yifan, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, et al · 2022
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Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
Haithem Turki, Deva Ramanan, and Mahadev Satyanarayanan. 2022 · 2022
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R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, and Sergey Tulyakov. 2022b · 2022
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4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions
Zhongshu Wang, Lingzhi Li, Zhen Shen, Li Shen, and Liefeng Bo. 2022a · 2022
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DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yuxiong Wang, and David Forsyth. 2022a · 2022
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Scalable Neural Indoor Scene Rendering
Xiuchao Wu, Jiamin Xu, Zihan Zhu, Hujun Bao, Qixing Huang, James Tompkin, and Weiwei Xu. 2022b · 2022
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Plenoxels: Radiance fields without neural networks
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa. 2022 · 2022
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Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation
Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, and Xing Tang. 2022 · 2022
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Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small
Chenxi Lola Deng and Enzo Tartaglione. 2023 · 2023
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