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Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM).
Marching cubes: A high resolution 3d surface construction algorithm
William E. Lorensen and Harvey E. Cline · 1987
Earlier work this paper cites.
A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
Earlier work this paper cites.
Parallel tracking and mapping on a camera phone
Georg Klein and David Murray · 2009
Earlier work this paper cites.
Kinectfusion: Real-time dense surface mapping and tracking
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohi, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon · 2011
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.
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.
Kintinuous: Spatially Extended KinectFusion
T. Whelan, J. B. McDonald, M. Kaess, M. Fallon, H. Johannsson, and J. J. Leonard · 2012
Earlier work this paper cites.
Real-time camera tracking and 3d reconstruction using signed distance functions
Erik Bylow, Jürgen Sturm, Christian Kerl, Fredrik Kahl, and Daniel Cremers · 2013
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Real-time 3d reconstruction at scale using voxel hashing
Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Marc Stamminger · 2013
Earlier work this paper cites.
Robust reconstruction of indoor scenes
Sungjoon Choi, Qian-Yi Zhou, and Vladlen Koltun · 2015
Earlier work this paper cites.
Elasticfusion: Dense slam without a pose graph
Thomas Whelan, Stefan Leutenegger, R Salas-Moreno, Ben Glocker, and Andrew Davison · 2015
Earlier work this paper cites.
The fast bilateral solver
Jonathan T Barron and Ben Poole · 2016
Earlier work this paper cites.
Real-time large-scale dense 3d reconstruction with loop closure
Olaf Kähler, Victor Adrian Prisacariu, and David W. Murray · 2016
Earlier work this paper cites.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration
Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Christian Theobalt · 2017
Earlier work this paper cites.
Direct sparse odometry
Jakob Engel, Vladlen Koltun, and Daniel Cremers · 2017
Earlier work this paper cites.
ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
R. Mur-Artal and J. D. Tardós · 2017
Earlier work this paper cites.
Co-fusion: Real-time segmentation, tracking and fusion of multiple objects
Martin Rünz and Lourdes Agapito · 2017
Earlier work this paper cites.
Demon: Depth and motion network for learning monocular stereo
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, and Thomas Brox · 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.
Ba-net: Dense bundle adjustment networks
Chengzhou Tang and Ping Tan · 2018
Earlier work this paper cites.
Deeptam: Deep tracking and mapping
Huizhong Zhou, Benjamin Ummenhofer, and Thomas Brox · 2018
Earlier work this paper cites.
Open3D: A modern library for 3D data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
Earlier work this paper cites.
Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
Earlier work this paper cites.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard A. Newcombe, and Steven Lovegrove · 2019
Cited alongside, same era.
Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
Cited alongside, same era.
BAD SLAM: bundle adjusted direct RGB-D SLAM
Thomas Schöps, Torsten Sattler, and Marc Pollefeys · 2019
Cited alongside, same era.
BAD SLAM: Bundle adjusted direct RGB-D SLAM
Thomas Schops, Torsten Sattler, and Marc Pollefeys · 2019
Cited alongside, same era.
Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
Later among the works it cites.
Transformerfusion: Monocular rgb scene reconstruction using transformers
Aljaž Božič, Pablo Palafox, Justus Thies, Angela Dai, and Matthias Nießner · 2021
Closest in time.
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
Closest in time.
Volumefusion: Deep depth fusion for 3d scene reconstruction
Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, and In So Kweon · 2021
Closest in time.
Di-fusion: Online implicit 3d reconstruction with deep priors
Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, and Shi-Min Hu · 2021
Closest in time.
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Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, and Richard Newcombe · 2019
Cited alongside, same era.
Deepv2d: Video to depth with differentiable structure from motion
Zachary Teed and Jia Deng · 2019
Cited alongside, same era.
DISN: deep implicit surface network for high-quality single-view 3d reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomír Mech, and Ulrich Neumann · 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.
Deep local shapes: Learning local sdf priors for detailed 3d reconstruction
Rohan Chabra, Jan E Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe · 2020
Cited alongside, same era.
Deepfactors: Real-time probabilistic dense monocular slam
Jan Czarnowski, Tristan Laidlow, Ronald Clark, and Andrew J Davison · 2020
Cited alongside, same era.
Local implicit grid representations for 3d scenes
Chiyu Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas Funkhouser, et al · 2020
Cited alongside, same era.
Lukas Koestler, Nan Yang, Niclas Zeller, and Daniel Cremers · 2021
Closest in time.
Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
Closest in time.
Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Closest in time.
Campari: Camera-aware decomposed generative neural radiance fields
Michael Niemeyer and Andreas Geiger · 2021
Closest in time.
Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
Closest in time.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
Closest in time.
Shape as points: A differentiable poisson solver
Songyou Peng, Chiyu ”Max” Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, and Andreas Geiger · 2021
Closest in time.
Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
Closest in time.
iMAP: Implicit mapping and positioning in real-time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew Davison · 2021
Closest in time.
Neuralrecon: Real-time coherent 3d reconstruction from monocular video
Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, and Hujun Bao · 2021
Closest in time.
Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras
Zachary Teed and Jia Deng · 2021
Closest in time.
Tangent space backpropagation for 3d transformation groups
Zachary Teed and Jia Deng · 2021
Closest in time.
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
Closest in time.
Nerf–: Neural radiance fields without known camera parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu · 2021
Closest in time.
Neuralfusion: Online depth fusion in latent space
Silvan Weder, Johannes L Schonberger, Marc Pollefeys, and Martin R Oswald · 2021
Closest in time.
Continual neural mapping: Learning an implicit scene representation from sequential observations
Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, and Hongbin Zha · 2021
Closest in time.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Closest in time.
Neural rgb-d surface reconstruction
Dejan Azinović, Ricardo Martin-Brualla, Dan B Goldman, Matthias Nießner, and Justus Thies · 2022
Closest in time.