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Neural Radiance Fields (NeRFs) have demonstrated remarkable proficiency in synthesizing photorealistic images of large-scale scenes.
Pyramid methods in image processing
Edward H Adelson, Charles H Anderson, James R Bergen, Peter J Burt, and Joan M Ogden · 1984
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The laplacian pyramid as a compact image code
Peter J Burt and Edward H Adelson · 1987
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Bundle adjustment—a modern synthesis
Bill Triggs, Philip F McLauchlan, Richard I Hartley, and Andrew W Fitzgibbon · 2000
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An automated method for large-scale, ground-based city model acquisition
Christian Früh and Avideh Zakhor · 2004
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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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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Photo tourism: exploring photo collections in 3d
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2006
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Multi-view stereo for community photo collections
Michael Goesele, Noah Snavely, Brian Curless, Hugues Hoppe, and Steven M Seitz · 2007
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Detailed real-time urban 3d reconstruction from video
Marc Pollefeys, David Nistér, J-M Frahm, Amir Akbarzadeh, Philippos Mordohai, Brian Clipp, Chris Engels, David Gallup, S-J Kim, Paul Merrell, et al · 2008
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Bundle adjustment in the large
Sameer Agarwal, Noah Snavely, Steven M Seitz, and Richard Szeliski · 2010
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Building rome on a cloudless day
Jan-Michael Frahm, Pierre Fite-Georgel, David Gallup, Tim Johnson, Rahul Raguram, Changchang Wu, Yi-Hung Jen, Enrique Dunn, Brian Clipp, Svetlana Lazebnik, et al · 2010
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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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Fast and accurate k-means for large datasets
Michael Shindler, Alex Wong, and Adam Meyerson · 2011
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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On the spectral bias of neural networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio, and Aaron Courville · 2019
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, and Ren Ng · 2020
Cited alongside, same era.
Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
Cited alongside, same era.
Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs
Haithem Turki, Deva Ramanan, and Mahadev Satyanarayanan · 2022
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Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering
Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin · 2022
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Point-nerf: Point-based neural radiance fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, and Ulrich Neumann · 2022
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Zip-nerf: Anti-aliased grid-based neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2023
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Tri-miprf: Tri-mip representation for efficient anti-aliasing neural radiance fields
Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, and Yuewen Ma · 2023
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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.
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 · 2021
Cited alongside, same era.
Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
Cited alongside, same era.
Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
Cited alongside, same era.
Capturing, reconstructing, and simulating: the urbanscene3d dataset
Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, and Hui Huang · 2022
Cited alongside, same era.
Bacon: Band-limited coordinate networks for multiscale scene representation
David B Lindell, Dave Van Veen, Jeong Joon Park, and Gordon Wetzstein · 2022
Cited alongside, same era.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
Cited alongside, same era.
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond
Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, and Bo Dai · 2023
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Grid-guided neural radiance fields for large urban scenes
Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, and Dahua Lin · 2023
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Multi-scale 3d gaussian splatting for anti-aliased rendering
Zhiwen Yan, Weng Fei Low, Yu Chen, and Gim Hee Lee · 2023
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Mip-splatting: Alias-free 3d gaussian splatting
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, and Andreas Geiger · 2023
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Switch-nerf: Learning scene decomposition with mixture of experts for large-scale neural radiance fields
MI Zhenxing and Dan Xu · 2023
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Google earth studio
Google · 2024
Closest in time.
Mip-grid: Anti-aliased grid representations for neural radiance fields
Seungtae Nam, Daniel Rho, Jong Hwan Ko, and Eunbyung Park · 2024
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Pynerf: Pyramidal neural radiance fields
Haithem Turki, Michael Zollhöfer, Christian Richardt, and Deva Ramanan · 2024
Closest in time.