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Neural Radiance Field (NeRF) is a popular method in data-driven 3D reconstruction.
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
Paul Debevec, C. J. Taylor, and Jitendra Malik · 1992
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Rapid octree construction from image sequences
Richard Szeliski · 1993
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The visual hull concept for silhouette-based image understanding
Aldo Laurentini · 1994
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The lumigraph
Steven J Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F Cohen · 1996
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Light field rendering
Marc Levoy and Pat Hanrahan · 1996
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Shape from the light field boundary
Kiriakos N Kutulakos · 1997
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Photorealistic scene reconstruction by voxel coloring
Steven M Seitz and Charles R Dyer · 1999
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3D imaging in medicine
Jayaram K Udupa and Gabor T Herman · 1999
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A theory of shape by space carving
Kiriakos N Kutulakos and Steven M Seitz · 2000
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Surface light fields for 3D photography
Daniel Wood, Daniel Azuma, Wyvern Aldinger, Brian Curless, Tom Duchamp, David Salesin, and Werner Stuetzle · 2000
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Unstructured lumigraph rendering
Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen · 2001
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Virtual reality technology and museum exhibit
Michitaka Hirose · 2005
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A comparison and evaluation of multi-view stereo reconstruction algorithms
Steven M Seitz, Brian Curless, James Diebel, Daniel Scharstein, and Richard Szeliski · 2006
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Virtual museum exbibitions
Krzysztof Walczak, Wojciech Cellary, and Martin White · 2006
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From 3d reconstruction to virtual reality: A complete methodology for digital archaeological exhibition
Fabio Bruno, Stefano Bruno, Giovanna De Sensi, Maria-Laura Luchi, Stefania Mancuso, and Maurizio Muzzupappa · 2010
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Unstructured light fields
Abe Davis, Marc Levoy, and Fredo Durand · 2012
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‘structure-from-motion’photogrammetry: A low-cost, effective tool for geoscience applications
Matthew J Westoby, James Brasington, Niel F Glasser, Michael J Hambrey, and Jennifer M Reynolds · 2012
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Mve-a multi-view reconstruction environment
Simon Fuhrmann, Fabian Langguth, and Michael Goesele · 2014
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Let there be color! Large-scale texturing of 3D reconstructions
Michael Goesele Michael Waechter, Nils Moehrle · 2014
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A new variational framework for multiview surface reconstruction
Ben Semerjian · 2014
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Massively parallel multiview stereopsis by surface normal diffusion
Silvano Galliani, Katrin Lasinger, and Konrad Schindler · 2015
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Learning a multi-view stereo machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
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Multi-view supervision for single-view reconstruction via differentiable ray consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A Efros, and Jitendra Malik · 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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Virtual reality (vr) & augmented reality (ar) technologies for tourism and hospitality industry
Anand Nayyar, Bandana Mahapatra, D Le, and G Suseendran · 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
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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
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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
Earlier work this paper cites.
Hologan: Unsupervised learning of 3d representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
Cited alongside, same era.
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2020
Cited alongside, same era.
Neural volume rendering: Nerf and beyond
Frank Dellaert and Lin Yen-Chen · 2020
Cited alongside, same era.
JaxNeRF: an efficient JAX implementation of NeRF, 2020
Boyang Deng, Jonathan T. Barron, and Pratul P. Srinivasan · 2020
Cited alongside, same era.
Pymatting: A python library for alpha matting
Thomas Germer, Tobias Uelwer, Stefan Conrad, and Stefan Harmeling · 2020
Cited alongside, same era.
GNeRF: GAN-based Neural Radiance Field without Posed Camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
Closest in time.
Donerf: Towards real-time rendering of compact neural radiance fields using depth oracle networks
T. Neff, P. Stadlbauer, M. Parger, A. Kurz, J. H. Mueller, C. R. A. Chaitanya, A. Kaplanyan, and M. Steinberger · 2021
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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
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Neural scene graphs for dynamic scenes
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, and Felix Heide · 2021
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Michelle Guo, Alireza Fathi, Jiajun Wu, and Thomas Funkhouser · 2020
Cited alongside, same era.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2020
Cited alongside, same era.
Real-time high-resolution background matting
Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian Curless, Steve Seitz, and Ira Kemelmacher-Shlizerman · 2020
Cited alongside, same era.
Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 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
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
Cited alongside, same era.
Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
Cited alongside, same era.
Closest in time.
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M. Seitz · 2021
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Animatable neural radiance fields for modeling dynamic human bodies
Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, and Hujun Bao · 2021
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Terminerf: Ray termination prediction for efficient neural rendering
Martin Piala and Ronald Clark · 2021
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Derf: Decomposed radiance fields
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, and Andrea Tagliasacchi · 2021
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Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
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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 · 2021
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iMAP: Implicit mapping and positioning in real-time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew Davison · 2021
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Nelf: Neural light-transport field for portrait view synthesis and relighting
Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, and Ravi Ramamoorthi · 2021
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Semantic image matting
Yanan Sun, Chi-Keung Tang, and Yu-Wing Tai · 2021
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Learned initializations for optimizing coordinate-based neural representations
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, and Ren Ng · 2021
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Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt · 2021
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GRF: Learning a general radiance field for 3d scene representation and rendering
Alex Trevithick and Bo Yang · 2021
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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
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Ibrnet: Learning multi-view image-based rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser · 2021
Closest in time.
Mirrornerf: One-shot neural portrait radiance field from multi-mirror catadioptric imaging
ZiYun Wang, Liao Wang, Fuqiang Zhao, Minye Wu, Lan Xu, and Jingyi Yu · 2021
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Nex: Real-time view synthesis with neural basis expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn · 2021
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Learning object-compositional neural radiance field for editable scene rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
Closest in time.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Closest in time.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Closest in time.
iNeRF: Inverting neural radiance fields for pose estimation
Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, and Tsung-Yi Lin · 2021
Closest in time.
PlenOctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 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.
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
Xiuming Zhang, Pratul P Srinivasan, Boyang Deng, Paul Debevec, William T Freeman, and Jonathan T Barron · 2021
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