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We present vMAP, an object-level dense SLAM system using neural field representations.
An Evaluation of the RGB-D SLAM System
Felix Endres, Jürgen Hess, Nikolas Engelhard, Jürgen Sturm, Daniel Cremers, and Wolfram Burgard · 2012
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A Benchmark for the Evaluation of RGB-D SLAM Systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
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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 scene reconstruction with points of interest
Qian-Yi Zhou and Vladlen Koltun · 2013
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Cross-stitch networks for multi-task learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert · 2016
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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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An overview of multi-task learning in deep neural networks
Sebastian Ruder · 2017
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Co-fusion: Real-time segmentation, tracking and fusion of multiple objects
Martin Rünz and Lourdes Agapito · 2017
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A ray-box intersection algorithm and efficient dynamic voxel rendering
Alexander Majercik, Cyril Crassin, Peter Shirley, and Morgan McGuire · 2018
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Fusion++: Volumetric object-level slam
John McCormac, Ronald Clark, Michael Bloesch, Andrew Davison, and Stefan Leutenegger · 2018
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Lvis: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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End-to-end multi-task learning with attention
Shikun Liu, Edward Johns, and Andrew J Davison · 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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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
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MID-Fusion: Octree-based object-level multi-instance dynamic slam
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew Davison, and Stefan Leutenegger · 2019
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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.
Semantic graph based place recognition for 3d point clouds
Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, and Feng Wen · 2020
Cited alongside, same era.
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
Cited alongside, same era.
NodeSLAM: Neural object descriptors for multi-view shape reconstruction
Edgar Sucar, Kentaro Wada, and Andrew Davison · 2020
Cited alongside, same era.
Morefusion: Multi-object reasoning for 6d pose estimation from volumetric fusion
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, and Andrew J Davison · 2020
Cited alongside, same era.
Dsp-slam: object oriented slam with deep shape priors
Jingwen Wang, Martin Rünz, and Lourdes Agapito · 2021
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Learning object-compositional neural radiance field for editable scene rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
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Implicit object mapping with noisy data
Jad Abou-Chakra, Feras Dayoub, and Niko Sünderhauf · 2022
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Generative category-level shape and pose estimation with semantic primitives
Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, and Guofeng Zhang · 2022
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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.
On the effectiveness of weight-encoded neural implicit 3d shapes
Thomas Davies, Derek Nowrouzezahrai, and Alec Jacobson · 2021
Cited alongside, same era.
functorch: Jax-like composable function transforms for pytorch
He Horace and Zou Richard · 2021
Cited alongside, same era.
Codenerf: Disentangled neural radiance fields for object categories
Wonbong Jang and Lourdes Agapito · 2021
Cited alongside, same era.
Hr-depth: High resolution self-supervised monocular depth estimation
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, and Yi Yuan · 2021
Cited alongside, same era.
Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
Cited alongside, same era.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
Cited alongside, same era.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Nerf-slam: Real-time dense monocular slam with neural radiance fields
Antoni Rosinol, John J Leonard, and Luca Carlone · 2022
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Go-surf: Neural feature grid optimization for fast, high-fidelity rgb-d surface reconstruction
Jingwen Wang, Tymoteusz Bleja, and Lourdes Agapito · 2022
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Object-compositional neural implicit surfaces
Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, and Jianmin Zheng · 2022
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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
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Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, and Andreas Geiger · 2022
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Nerf-editing: geometry editing of neural radiance fields
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao · 2022
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ilabel: Revealing objects in neural fields
Shuaifeng Zhi, Edgar Sucar, Andre Mouton, Iain Haughton, Tristan Laidlow, and Andrew J Davison · 2022
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Detecting twenty-thousand classes using image-level supervision
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, and Ishan Misra · 2022
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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
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Shine-mapping: Large-scale 3d mapping using sparse hierarchical implicit neural representations
Xingguang Zhong, Yue Pan, Jens Behley, and Cyrill Stachniss · 2023
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