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Simultaneous localization and mapping (SLAM) systems with novel view synthesis capabilities are widely used in computer vision, with applications in augmented reality, robotics, and autonomous driving.
On the representation and estimation of spatial uncertainty
Randall C. Smith and Peter Cheeseman · 1986
Earlier work this paper cites.
A method for registration of 3-d shapes
P.J. Besl and Neil D. McKay · 1992
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Volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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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
Earlier work this paper cites.
Fast point feature histograms (fpfh) for 3d registration
Radu Bogdan Rusu, Nico Blodow, and Michael Beetz · 2009
Earlier work this paper cites.
G2o: A general framework for graph optimization
Rainer Kümmerle, Giorgio Grisetti, Hauke Strasdat, Kurt Konolige, and Wolfram Burgard · 2011
Earlier work this paper cites.
Bags of binary words for fast place recognition in image sequences
Dorian Gálvez-López and J. D. Tardós · 2012
Earlier work this paper cites.
A benchmark for the evaluation of RGB-D SLAM systems
Jürgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, and Daniel Cremers · 2012
Earlier work this paper cites.
Visual simultaneous localization and mapping: a survey
Jorge Fuentes-Pacheco, José Ruiz-Ascencio, and Juan Manuel Rendón-Mancha · 2015
Earlier work this paper cites.
Netvlad: Cnn architecture for weakly supervised place recognition, 2016
Relja Arandjelović, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic · 2016
Earlier work this paper cites.
Colored point cloud registration revisited
Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Earlier work this paper cites.
CCM-SLAM: Robust and efficient centralized collaborative monocular simultaneous localization and mapping for robotic teams
Patrik Schmuck and Margarita Chli · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Door-slam: Distributed, online, and outlier resilient slam for robotic teams
Pierre-Yves Lajoie, Benjamin Ramtoula, Yun Chang, Luca Carlone, and Giovanni Beltrame · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields, 2021
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
Earlier work this paper cites.
Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam
Carlos Campos, Richard Elvira, Juan J. Gomez Rodriguez, Jose M. M. Montiel, and Juan D. Tardos · 2021
Cited alongside, same era.
Kimera-multi: a system for distributed multi-robot metric-semantic simultaneous localization and mapping
Yun Chang, Yulun Tian, Jonathan P. How, and Luca Carlone · 2021
Cited alongside, same era.
iMAP: Implicit Mapping and Positioning in Real-Time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew J. Davison · 2021
Cited alongside, same era.
Plenoxels: Radiance fields without neural networks, 2021
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2021
Cited alongside, same era.
Orbeez-slam: A real-time monocular visual slam with orb features and nerf-realized mapping
Chi-Ming Chung, Yang-Che Tseng, Ya-Ching Hsu, Xiang-Qian Shi, Yun-Hung Hua, Jia-Fong Yeh, Wen-Chin Chen, Yi-Ting Chen, and Winston H Hsu · 2022
Cited alongside, same era.
Point-slam: Dense neural point cloud-based slam
Erik Sandström, Yue Li, Luc Van Gool, and Martin R Oswald · 2023
Later among the works it cites.
Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam
Hengyi Wang, Jingwen Wang, and Lourdes Agapito · 2023
Later among the works it cites.
Go-slam: Global optimization for consistent 3d instant reconstruction
Youmin Zhang, Fabio Tosi, Stefano Mattoccia, and Matteo Poggi · 2023
Later among the works it cites.
The faiss library, 2024
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou · 2024
Closest in time.
Cg-slam: Efficient dense rgb-d slam in a consistent uncertainty-aware 3d gaussian field, 2024
Jiarui Hu, Xianhao Chen, Boyin Feng, Guanglin Li, Liangjing Yang, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2024
Closest in time.
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A survey of state-of-the-art on visual slam
Iman Abaspur Kazerouni, Luke Fitzgerald, Gerard Dooly, and Daniel Toal · 2022
Cited alongside, same era.
Eslam: Efficient dense slam system based on hybrid representation of signed distance fields
Mohammad Mahdi Johari, Camilla Carta, and François Fleuret · 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.
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields
Antoni Rosinol, John J. Leonard, and Luca Carlone · 2022
Cited alongside, same era.
Vox-fusion: Dense tracking and mapping with voxel-based neural implicit representation
Xingrui Yang, Hai Li, Hongjia Zhai, Yuhang Ming, Yuqian Liu, and Guofeng Zhang · 2022
Cited alongside, same era.
Nice-slam: Neural implicit scalable encoding for slam
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R Oswald, and Marc Pollefeys · 2022
Cited alongside, same era.
Cp-slam: Collaborative neural point-based slam system, 2023
Jiarui Hu, Mao Mao, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2023
Cited alongside, same era.
Photo-slam: Real-time simultaneous localization and photorealistic mapping for monocular, stereo, and rgb-d cameras
Huajian Huang, Longwei Li, Cheng Hui, and Sai-Kit Yeung · 2024
Closest in time.
Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems
Pierre-Yves Lajoie and Giovanni Beltrame · 2024
Closest in time.
Loopy-slam: Dense neural slam with loop closures
Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, and Martin R Oswald · 2024
Closest in time.
Gaussian Splatting SLAM
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, and Andrew J. Davison · 2024
Closest in time.
Dinov2: Learning robust visual features without supervision, 2024
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2024
Closest in time.
Rtg-slam: Real-time 3d reconstruction at scale using gaussian splatting
Zhexi Peng, Tianjia Shao, Liu Yong, Jingke Zhou, Yin Yang, Jingdong Wang, and Kun Zhou · 2024
Closest in time.
How nerfs and 3d gaussian splatting are reshaping slam: a survey, 2024
Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, and Matteo Poggi · 2024
Closest in time.
Gs-slam: Dense visual slam with 3d gaussian splatting, 2024
Chi Yan, Delin Qu, Dan Xu, Bin Zhao, Zhigang Wang, Dong Wang, and Xuelong Li · 2024
Closest in time.
Gaussian-slam: Photo-realistic dense slam with gaussian splatting, 2024
Vladimir Yugay, Yue Li, Theo Gevers, and Martin R. Oswald · 2024
Closest in time.
Loopsplat: Loop closure by registering 3d gaussian splats, 2024
Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, and Iro Armeni · 2024
Closest in time.