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Previous online 3D dense reconstruction methods struggle to achieve the balance between memory storage and surface quality, largely due to the usage of stagnant underlying geometry representation, such as TSDF (truncated signed distance functions) or surfels, without any knowledge of the scene priors.
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Monoslam: Real-time single camera slam
A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse · 2007
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Kinectfusion: Real-time dense surface mapping and tracking
Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, and Andrew W. Fitzgibbon · 2011
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Scalable real-time volumetric surface reconstruction
Jiawen Chen, Dennis Bautembach, and Shahram Izadi · 2013
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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
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Dense visual SLAM for RGB-D cameras
Christian Kerl, Jürgen Sturm, 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
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Octree-based fusion for realtime 3d reconstruction
Ming Zeng, Fukai Zhao, Jiaxiang Zheng, and Xinguo Liu · 2013
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LSD-SLAM: large-scale direct monocular SLAM
Jakob Engel, Thomas Schöps, and Daniel Cremers · 2014
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A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
A. Handa, T. Whelan, J.B. McDonald, and A.J. Davison · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Robust reconstruction of indoor scenes
Sungjoon Choi, Qian-Yi Zhou, and Vladlen Koltun · 2015
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Very high frame rate volumetric integration of depth images on mobile devices
Olaf Kähler, Victor Adrian Prisacariu, Carl Yuheng Ren, Xin Sun, Philip H. S. Torr, and David William Murray · 2015
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Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time
Richard A Newcombe, Dieter Fox, and Steven M Seitz · 2015
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Real-time large-scale dense RGB-D SLAM with volumetric fusion
Thomas Whelan, Michael Kaess, Hordur Johannsson, Maurice F. Fallon, John J. Leonard, and John McDonald · 2015
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Elasticfusion: Dense SLAM without A pose graph
Thomas Whelan, Stefan Leutenegger, Renato F. Salas-Moreno, Ben Glocker, and Andrew J. Davison · 2015
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State estimation for robotics
Timothy D Barfoot · 2017
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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
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Deep 6-dof tracking
M. Garon and J. Lalonde · 2017
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Wolfram Martens, Yannick Poffet, Pablo Ramon Soria, Robert Fitch, and Salah Sukkarieh · 2017
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Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras
R. Mur-Artal and J. D. Tardós · 2017
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Infinitam v3: A framework for large-scale 3d reconstruction with loop closure
Clusterslam: A slam backend for simultaneous rigid body clustering and motion estimation
Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, and Shi-Min Hu · 2019
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Deepfusion: real-time dense 3d reconstruction for monocular slam using single-view depth and gradient predictions
Tristan Laidlow, Jan Czarnowski, and Stefan Leutenegger · 2019
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Online continuous mapping using gaussian process implicit surfaces
Bhoram Lee, Clark Zhang, Zonghao Huang, and Daniel D Lee · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Victor Adrian Prisacariu, Olaf Kähler, Stuart Golodetz, Michael Sapienza, Tommaso Cavallari, Philip HS Torr, and David W Murray · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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CNN-SLAM: real-time dense monocular SLAM with learned depth prediction
Keisuke Tateno, Federico Tombari, Iro Laina, and Nassir Navab · 2017
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Codeslam - learning a compact, optimisable representation for dense visual SLAM
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, and Andrew J. Davison · 2018
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Real-time high-accuracy three-dimensional reconstruction with consumer RGB-D cameras
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Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, and Matthias Nießner · 2018
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Psdf fusion: Probabilistic signed distance function for on-the-fly 3d data fusion and scene reconstruction
Wei Dong, Qiuyuan Wang, Xin Wang, and Hongbin Zha · 2018
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Deep local shapes: Learning local SDF priors for detailed 3d reconstruction
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard A. Newcombe · 2020
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