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Neural Radiance Fields (NeRF) have recently gained a surge of interest within the computer vision community for its power to synthesize photorealistic novel views of real-world scenes.
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas and Takeo Kanade · 1981
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Efficient ray tracing of volume data
Marc Levoy · 1990
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View interpolation for image synthesis
Shenchang Eric Chen and Lance Williams · 1993
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Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach
Paul E Debevec, Camillo J Taylor, and Jitendra Malik · 1996
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Light field rendering
Marc Levoy and Pat Hanrahan · 1996
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Stereo matching with transparency and matting
Richard Szeliski and Polina Golland · 1998
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Plenoptic modeling and rendering from image sequences taken by a hand-held camera
Benno Heigl, Reinhard Koch, Marc Pollefeys, Joachim Denzler, and Luc Van Gool · 1999
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Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters
Marc Pollefeys, Reinhard Koch, and Luc Van Gool · 1999
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Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman · 2004
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Visual modeling with a hand-held camera
Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Frank Verbiest, Kurt Cornelis, Jan Tops, and Reinhard Koch · 2004
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High-quality video view interpolation using a layered representation
C Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski · 2004
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Photo tourism: exploring photo collections in 3d
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2006
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Monoslam: Real-time single camera slam
Andrew J Davison, Ian D Reid, Nicholas D Molton, and Olivier Stasse · 2007
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Modeling the world from internet photo collections
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Building rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski · 2011
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Dtam: Dense tracking and mapping in real-time
Richard A Newcombe, Steven J Lovegrove, and Andrew J Davison · 2011
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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
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Photometric bundle adjustment for dense multi-view 3d modeling
Amaël Delaunoy and Marc Pollefeys · 2014
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Lsd-slam: Large-scale direct monocular slam
Jakob Engel, Thomas Schöps, and Daniel Cremers · 2014
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First-person hyper-lapse videos
Johannes Kopf, Michael F Cohen, and Richard Szeliski · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
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Orb-slam: a versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
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Photometric bundle adjustment for vision-based slam
Hatem Alismail, Brett Browning, and Simon Lucey · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
Cited alongside, same era.
Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2016
Cited alongside, same era.
Direct sparse odometry
Jakob Engel, Vladlen Koltun, and Daniel Cremers · 2017
Cited alongside, same era.
Casual 3d photography
Peter Hedman, Suhib Alsisan, Richard Szeliski, and Johannes Kopf · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Stereo dso: Large-scale direct sparse visual odometry with stereo cameras
Rui Wang, Martin Schworer, and Daniel Cremers · 2017
Cited alongside, same era.
Portrait neural radiance fields from a single image
Chen Gao, Yichang Shih, Wei-Sheng Lai, Chia-Kai Liang, and Jia-Bin Huang · 2020
Later among the works it cites.
Worldsheet: Wrapping the world in a 3d sheet for view synthesis from a single image
Ronghang Hu and Deepak Pathak · 2020
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 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
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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2020
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Unsupervised learning of depth and ego-motion from video
Tinghui Zhou, Matthew Brown, Noah Snavely, and David G Lowe · 2017
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Lf-net: Learning local features from images
Yuki Ono, Eduard Trulls, Pascal Fua, and Kwang Moo Yi · 2018
Cited alongside, same era.
Layer-structured 3d scene inference via view synthesis
Shubham Tulsiani, Richard Tucker, and Noah Snavely · 2018
Cited alongside, same era.
Learning depth from monocular videos using direct methods
Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, and Simon Lucey · 2018
Cited alongside, same era.
Keunhong Park, Utkarsh Sinha, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Steven M Seitz, and Ricardo-Martin Brualla · 2020
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2020
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Derf: Decomposed radiance fields
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, and Andrea Tagliasacchi · 2020
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Free view synthesis
Gernot Riegler and Vladlen Koltun · 2020
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Stable view synthesis
Gernot Riegler and Vladlen Koltun · 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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3d photography using context-aware layered depth inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf, and Jia-Bin Huang · 2020
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis
Pratul P Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T Barron · 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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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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Single-view view synthesis with multiplane images
Richard Tucker and Noah Snavely · 2020
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Synsin: End-to-end view synthesis from a single image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson · 2020
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Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 2020
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inerf: Inverting neural radiance fields for pose estimation
Lin Yen-Chen, Pete Florence, Jonathan T Barron, Alberto Rodriguez, Phillip Isola, and Tsung-Yi Lin · 2020
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Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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Sharf: Shape-conditioned radiance fields from a single view
Konstantinos Rematas, Ricardo Martin-Brualla, and Vittorio Ferrari · 2021
Closest in time.
Asynchronous multi-view SLAM
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, and Shenlong Wang · 2021
Closest in time.
pixelnerf: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
Closest in time.