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Neural Radiance Fields (NeRF) have demonstrated impressive performance in novel view synthesis.
An iterative image registration technique with an application to stereo vision
Lucas, B. D.; and Kanade, T. 1981 · 1981
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Distinctive image features from scale-invariant keypoints
Lowe, D. G. 2004 · 2004
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Surf: Speeded up robust features
Bay, H.; Tuytelaars, T.; and Van Gool, L. 2006 · 2006
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Nerf++: Analyzing and improving neural radiance fields
Zhang, K.; Riegler, G.; Snavely, N.; and Koltun, V. 2020 · 2010
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Building rome in a day
Agarwal, S.; Furukawa, Y.; Snavely, N.; Simon, I.; Curless, B.; Seitz, S. M.; and Szeliski, R. 2011 · 2011
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Efficient and robust large-scale rotation averaging
Chatterjee, A.; and Govindu, V. M. 2013 · 2013
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Global fusion of relative motions for robust, accurate and scalable structure from motion
Moulon, P.; Monasse, P.; and Marlet, R. 2013 · 2013
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Towards linear-time incremental structure from motion
Wu, C. 2013 · 2013
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LSD-SLAM: Large-scale direct monocular SLAM
Engel, J.; Schöps, T.; and Cremers, D. 2014 · 2014
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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ORB-SLAM: a versatile and accurate monocular SLAM system
Mur-Artal, R.; Montiel, J. M. M.; and Tardos, J. D. 2015 · 2015
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Openmvg: Open multiple view geometry
Moulon, P.; Monasse, P.; Perrot, R.; and Marlet, R. 2017 · 2016
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Structure-from-motion revisited
Schonberger, J. L.; and Frahm, J.-M. 2016 · 2016
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Lift: Learned invariant feature transform
Yi, K. M.; Trulls, E.; Lepetit, V.; and Fua, P. 2016 · 2016
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Direct sparse odometry
Engel, J.; Koltun, V.; and Cremers, D. 2017 · 2017
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Superpoint: Self-supervised interest point detection and description
DeTone, D.; Malisiewicz, T.; and Rabinovich, A. 2018 · 2018
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Mvsnet: Depth inference for unstructured multi-view stereo
Yao, Y.; Luo, Z.; Li, S.; Fang, T.; and Quan, L. 2018 · 2018
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OpenVSLAM: A versatile visual SLAM framework
Sumikura, S.; Shibuya, M.; and Sakurada, K. 2019 · 2019
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Mildenhall, B.; Srinivasan, P. P.; Tancik, M.; Barron, J. T.; Ramamoorthi, R.; and Ng, R. 2020 · 2020
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Implicit neural representations with periodic activation functions
Sitzmann, V.; Martel, J.; Bergman, A.; Lindell, D.; and Wetzstein, G. 2020 · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Teed, Z.; and Deng, J. 2020 · 2020
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Törf: Time-of-flight radiance fields for dynamic scene view synthesis
Attal, B.; Laidlaw, E.; Gokaslan, A.; Kim, C.; Richardt, C.; Tompkin, J.; and O’Toole, M. 2021 · 2021
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Barron, J. T.; Mildenhall, B.; Tancik, M.; Hedman, P.; Martin-Brualla, R.; and Srinivasan, P. P. 2021 · 2021
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Fastnerf: High-fidelity neural rendering at 200fps
Garbin, S. J.; Kowalski, M.; Johnson, M.; Shotton, J.; and Valentin, J. 2021 · 2021
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imporved-nerfmm
Guo, J.; and Sherwood, A. 2021 · 2021
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Putting nerf on a diet: Semantically consistent few-shot view synthesis
Jain, A.; Tancik, M.; and Abbeel, P. 2021 · 2021
Cited alongside, same era.
Self-calibrating neural radiance fields
Jeong, Y.; Ahn, S.; Choy, C.; Anandkumar, A.; Cho, M.; and Park, J. 2021 · 2021
Cited alongside, same era.
Barf: Bundle-adjusting neural radiance fields
Lin, C.-H.; Ma, W.-C.; Torralba, A.; and Lucey, S. 2021 · 2021
Cited alongside, same era.
Nerf in the wild: Neural radiance fields for unconstrained photo collections
Martin-Brualla, R.; Radwan, N.; Sajjadi, M. S.; Barron, J. T.; Dosovitskiy, A.; and Duckworth, D. 2021 · 2021
Cited alongside, same era.
Gnerf: Gan-based neural radiance field without posed camera
Meng, Q.; Chen, A.; Luo, H.; Wu, M.; Su, H.; Xu, L.; He, X.; and Yu, J. 2021 · 2021
Cited alongside, same era.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Instant neural graphics primitives with a multiresolution hash encoding
Müller, T.; Evans, A.; Schied, C.; and Keller, A. 2022 · 2022
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Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Niemeyer, M.; Barron, J. T.; Mildenhall, B.; Sajjadi, M. S.; Geiger, A.; and Radwan, N. 2022 · 2022
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NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields
Rosinol, A.; Leonard, J. J.; and Carlone, L. 2022 · 2022
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Sun, C.; Sun, M.; and Chen, H.-T. 2022 · 2022
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Block-nerf: Scalable large scene neural view synthesis
Tancik, M.; Casser, V.; Yan, X.; Pradhan, S.; Mildenhall, B.; Srinivasan, P. P.; Barron, J. T.; and Kretzschmar, H. 2022 · 2022
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Oechsle, M.; Peng, S.; and Geiger, A. 2021 · 2021
Cited alongside, same era.
HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields
Park, K.; Sinha, U.; Hedman, P.; Barron, J. T.; Bouaziz, S.; Goldman, D. B.; Martin-Brualla, R.; and Seitz, S. M. 2021 · 2021
Cited alongside, same era.
D-nerf: Neural radiance fields for dynamic scenes
Pumarola, A.; Corona, E.; Pons-Moll, G.; and Moreno-Noguer, F. 2021 · 2021
Cited alongside, same era.
iMAP: Implicit mapping and positioning in real-time
Sucar, E.; Liu, S.; Ortiz, J.; and Davison, A. J. 2021 · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
Yariv, L.; Gu, J.; Kasten, Y.; and Lipman, Y. 2021 · 2021
Cited alongside, same era.
inerf: Inverting neural radiance fields for pose estimation
Yen-Chen, L.; Florence, P.; Barron, J. T.; Rodriguez, A.; Isola, P.; and Lin, T.-Y. 2021 · 2021
Cited alongside, same era.
Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
Zhang, X.; Srinivasan, P. P.; Deng, B.; Debevec, P.; Freeman, W. T.; and Barron, J. T. 2021 · 2021
Cited alongside, same era.
Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs
Turki, H.; Ramanan, D.; and Satyanarayanan, M. 2022 · 2022
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Neural Density-Distance Fields
Ueda, I.; Fukuhara, Y.; Kataoka, H.; Aizawa, H.; Shishido, H.; and Kitahara, I. 2022 · 2022
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Ref-nerf: Structured view-dependent appearance for neural radiance fields
Verbin, D.; Hedman, P.; Mildenhall, B.; Zickler, T.; Barron, J. T.; and Srinivasan, P. P. 2022 · 2022
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SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference
Wadhwani, K.; and Kojima, T. 2022 · 2022
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HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
Wang, Y.; Skorokhodov, I.; and Wonka, P. 2022 · 2022
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Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation
Zhang, J.; Huang, J.; Cai, B.; Fu, H.; Gong, M.; Wang, C.; Wang, J.; Luo, H.; Jia, R.; Zhao, B.; et al. 2022a · 2022
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Nice-slam: Neural implicit scalable encoding for slam
Zhu, Z.; Peng, S.; Larsson, V.; Xu, W.; Bao, H.; Cui, Z.; Oswald, M. R.; and Pollefeys, M. 2022 · 2022
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Nope-nerf: Optimising neural radiance field with no pose prior
Bian, W.; Wang, Z.; Li, K.; Bian, J.-W.; and Prisacariu, V. A. 2023 · 2023
Closest in time.
Local-to-global registration for bundle-adjusting neural radiance fields
Chen, Y.; Chen, X.; Wang, X.; Zhang, Q.; Guo, Y.; Shan, Y.; and Wang, F. 2023 · 2023
Closest in time.
Parallel inversion of neural radiance fields for robust pose estimation
Lin, Y.; Müller, T.; Tremblay, J.; Wen, B.; Tyree, S.; Evans, A.; Vela, P. A.; and Birchfield, S. 2023 · 2023
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Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topologies
Long, X.; Lin, C.; Liu, L.; Liu, Y.; Wang, P.; Theobalt, C.; Komura, T.; and Wang, W. 2023 · 2023
Closest in time.
Progressively optimized local radiance fields for robust view synthesis
Meuleman, A.; Liu, Y.-L.; Gao, C.; Huang, J.-B.; Kim, C.; Kim, M. H.; and Kopf, J. 2023 · 2023
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RobustNeRF: Ignoring Distractors with Robust Losses
Sabour, S.; Vora, S.; Duckworth, D.; Krasin, I.; Fleet, D. J.; and Tagliasacchi, A. 2023 · 2023
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Nerfstudio: A modular framework for neural radiance field development
Tancik, M.; Weber, E.; Ng, E.; Li, R.; Yi, B.; Wang, T.; Kristoffersen, A.; Austin, J.; Salahi, K.; Ahuja, A.; et al. 2023 · 2023
Closest in time.
F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
Wang, P.; Liu, Y.; Chen, Z.; Liu, L.; Liu, Z.; Komura, T.; Theobalt, C.; and Wang, W. 2023 · 2023
Closest in time.
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
Warburg, F.; Weber, E.; Tancik, M.; Holynski, A.; and Kanazawa, A. 2023 · 2023
Closest in time.
Level- S 2 S^{2} fM: Structure From Motion on Neural Level Set of Implicit Surfaces
Xiao, Y.; Xue, N.; Wu, T.; and Xia, G.-S. 2023 · 2023
Closest in time.
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
Yan, Q.; Wang, Q.; Zhao, K.; Li, B.; Chu, X.; and Deng, F. 2023 · 2023
Closest in time.
Nicer-slam: Neural implicit scene encoding for rgb slam
Zhu, Z.; Peng, S.; Larsson, V.; Cui, Z.; Oswald, M. R.; Geiger, A.; and Pollefeys, M. 2023 · 2023
Closest in time.