Fetching the paper…
Reading the bibliography…
Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications.
A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
Earlier work this paper cites.
Monoslam: Real-time single camera slam
Andrew J Davison, Ian D Reid, Nicholas D Molton, and Olivier Stasse · 2007
Earlier work this paper cites.
Dtam: Dense tracking and mapping in real-time
Richard A Newcombe, Steven J Lovegrove, and Andrew J Davison · 2011
Earlier work this paper cites.
Real-time visual odometry from dense rgb-d images
Frank Steinbrücker, Jürgen Sturm, and Daniel Cremers · 2011
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.
Real-time 3d reconstruction in dynamic scenes using point-based fusion
Maik Keller, Damien Lefloch, Martin Lambers, Shahram Izadi, Tim Weyrich, and Andreas Kolb · 2013
Earlier work this paper cites.
Robust odometry estimation for rgb-d cameras
Christian Kerl, Jürgen Sturm, and Daniel Cremers · 2013
Earlier work this paper cites.
Openvdb: An open-source data structure and toolkit for high-resolution volumes
Ken Museth, Jeff Lait, John Johanson, Jeff Budsberg, Ron Henderson, Mihai Alden, Peter Cucka, David Hill, and Andrew Pearce · 2013
Earlier work this paper cites.
Lsd-slam: Large-scale direct monocular slam
Jakob Engel, Thomas Schöps, and Daniel Cremers · 2014
Earlier work this paper cites.
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian Reid, and John J Leonard · 2016
Earlier work this paper cites.
Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface re-integration
Angela Dai, Matthias Nießner, Michael Zollöfer, Shahram Izadi, and Christian Theobalt · 2017
Earlier work this paper cites.
ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
Raul Mur-Artal and Juan D. Tardos · 2017
Earlier work this paper cites.
Voxblox: Incremental 3d euclidean signed distance fields for on-board mav planning
Helen Oleynikova, Zachary Taylor, Marius Fehr, Roland Siegwart, and Juan Nieto · 2017
Earlier work this paper cites.
Cnn-slam: Real-time dense monocular slam with learned depth prediction
K. Tateno, F. Tombari, I. Laina, and N. Navab · 2017
Earlier work this paper cites.
Codeslam—learning a compact, optimisable representation for dense visual slam
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, and Andrew J Davison · 2018
Earlier work this paper cites.
Deeptam: Deep tracking and mapping
Huizhong Zhou, Benjamin Ummenhofer, and Thomas Brox · 2018
Earlier work this paper cites.
BAD SLAM: Bundle adjusted direct RGB-D SLAM
Thomas Schops, Torsten Sattler, and Marc Pollefeys · 2019
Cited alongside, same era.
The replica dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, et al · 2019
Cited alongside, same era.
Differentiable surface splatting for point-based geometry processing
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, and Olga Sorkine-Hornung · 2019
Cited alongside, same era.
Scenecode: Monocular dense semantic reconstruction using learned encoded scene representations
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, and Andrew J Davison · 2019
Cited alongside, same era.
Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam
Carlos Campos, Richard Elvira, Juan J Gómez Rodríguez, José MM Montiel, and Juan D Tardós · 2021
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
Later among the works it cites.
Incremental multimodal surface mapping via self-organizing gaussian mixture models
Kshitij Goel and Wennie Tabib · 2023
Closest in time.
Probabilistic point cloud modeling via self-organizing gaussian mixture models
Kshitij Goel, Nathan Michael, and Wennie Tabib · 2023
Closest in time.
Ro-map: Real-time multi-object mapping with neural radiance fields
Xiao Han, Houxuan Liu, Yunchao Ding, and Lu Yang · 2023
Closest in time.
Eslam: Efficient dense slam system based on hybrid representation of signed distance fields
Mohammad Mahdi Johari, Camilla Carta, and François Fleuret · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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.
imap: Implicit mapping and positioning in real-time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew J Davison · 2021
Cited alongside, same era.
Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras
Zachary Teed and Jia Deng · 2021
Cited alongside, same era.
Approximate differentiable rendering with algebraic surfaces
Leonid Keselman and Martial Hebert · 2022
Cited alongside, same era.
idf-slam: End-to-end rgb-d slam with neural implicit mapping and deep feature tracking
Yuhang Ming, Weicai Ye, and Andrew Calway · 2022
Cited alongside, same era.
isdf: Real-time neural signed distance fields for robot perception
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny, Michael Zollhoefer, and Mustafa Mukadam · 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.
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Closest in time.
Flexible techniques for differentiable rendering with 3d gaussians
Leonid Keselman and Martial Hebert · 2023
Closest in time.
vmap: Vectorised object mapping for neural field slam
Xin Kong, Shikun Liu, Marwan Taher, and Andrew J Davison · 2023
Closest in time.
Dense rgb slam with neural implicit maps
Heng Li, Xiaodong Gu, Weihao Yuan, Luwei Yang, Zilong Dong, and Ping Tan · 2023
Closest in time.
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2023
Closest in time.
Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam
Hengyi Wang, Jingwen Wang, and Lourdes Agapito · 2023
Closest in time.
4d gaussian splatting for real-time dynamic scene rendering
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang · 2023
Closest in time.
Scannet++: A high-fidelity dataset of 3d indoor scenes
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, and Angela Dai · 2023
Closest in time.
Hi-slam: Monocular real-time dense mapping with hybrid implicit fields
Wei Zhang, Tiecheng Sun, Sen Wang, Qing Cheng, and Norbert Haala · 2023
Closest in time.
Nicer-slam: Neural implicit scene encoding for rgb slam
Zihan Zhu, Songyou Peng, Viktor Larsson, Zhaopeng Cui, Martin R Oswald, Andreas Geiger, and Marc Pollefeys · 2023
Closest in time.