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Most problems involving simultaneous localization and mapping can nowadays be solved using one of two fundamentally different approaches.
Method for registration of 3-d shapes
Paul J Besl and Neil D McKay · 1992
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Towards semantic slam using a monocular camera
Javier Civera, Dorian Gálvez-López, Luis Riazuelo, Juan D Tardós, and JMM Montiel · 2011
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Semantic labeling of 3d point clouds for indoor scenes
Hema S Koppula, Abhishek Anand, Thorsten Joachims, and Ashutosh Saxena · 2011
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Slam++: Simultaneous localisation and mapping at the level of objects
Renato F Salas-Moreno, Richard A Newcombe, Hauke Strasdat, Paul HJ Kelly, and Andrew J Davison · 2013
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Dense reconstruction using 3d object shape priors
A Dame, V A Prisacariu, C Y Ren, and I Reid · 2013
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Min Lin, Qiang Chen, and Shuicheng Yan · 2013
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Dense planar slam
Renato F Salas-Moreno, Ben Glocken, Paul HJ Kelly, and Andrew J Davison · 2014
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Joint semantic segmentation and 3d reconstruction from monocular video
Abhijit Kundu, Yin Li, Frank Dellaert, Fuxin Li, and James M Rehg · 2014
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Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio · 2014
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Descriptor free visual indoor localization with line segments
Branislav Micusik and Horst Wildenauer · 2015
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Aligning 3d models to rgb-d images of cluttered scenes
Saurabh Gupta, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2015
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Dense real-time mapping of object-class semantics from rgb-d video
Jörg Stückler, Benedikt Waldvogel, Hannes Schulz, and Sven Behnke · 2015
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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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Learning a predictable and generative vector representation for objects
Rohit Girdhar, David F Fouhey, Mikel Rodriguez, and Abhinav Gupta · 2016
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Deep shape from a low number of silhouettes
Xinhan Di, Rozenn Dahyot, and Mukta Prasad · 2016
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
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The cma evolution strategy: A tutorial
Nikolaus Hansen · 2016
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A large dataset of object scans
Sungjoon Choi, Qian-Yi Zhou, Stephen Miller, and Vladlen Koltun · 2016
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Marrnet: 3d shape reconstruction via 2.5 d sketches
Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, and Josh Tenenbaum · 2017
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3d object reconstruction from a depth view with adversarial learning
Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, and Niki Trigoni · 2017
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Improved adversarial systems for 3d object generation and reconstruction
Edward Smith and David Meger · 2017
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Unsupervised learning of 3d structure from images
Danilo Jimenez Rezende, SM Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, and Nicolas Heess · 2016
Cited alongside, same era.
Real-time monocular object slam
Dorian Gálvez-López, Marta Salas, Juan D Tardós, and JMM Montiel · 2016
Cited alongside, same era.
Slam with objects using a nonparametric pose graph
Beipeng Mu, Shih-Yuan Liu, Liam Paull, John Leonard, and Jonathan P How · 2016
Cited alongside, same era.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J. Guibas · 2016
Cited alongside, same era.
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
Cited alongside, same era.
Later among the works it cites.
Semanticfusion: Dense 3d semantic mapping with convolutional neural networks
John McCormac, Ankur Handa, Andrew Davison, and Stefan Leutenegger · 2017
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Dense semantic 3d reconstruction
C Häne, C Zach, A Cohen, and M Pollefeys · 2017
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Semantic photometric bundle adjustment on natural sequences
Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, and Simon Lucey · 2017
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Shape completion using 3d-encoder-predictor cnns and shape synthesis
Angela Dai, Charles Ruizhongtai Qi, and Matthias Nießner · 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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