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We propose a novel geometric and photometric 3D mapping pipeline for accurate and real-time scene reconstruction from monocular images.
A volumetric method for building complex models from range images
B. Curless and M. Levoy · 1996
Earlier work this paper cites.
Parallel tracking and mapping for small AR workspaces
G. Klein and D. Murray · 2007
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DTAM: Dense tracking and mapping in real-time
R.A. Newcombe, S.J. Lovegrove, and A.J. Davison · 2011
Earlier work this paper cites.
Kintinuous: Spatially extended Kinect-Fusion
T. Whelan, J. B. McDonald, M. Kaess, M. F. Fallon, H. Johannsson, and J. J. Leonard · 2012
Earlier work this paper cites.
3D semantic parsing of large-scale indoor spaces
I. Armeni, O. Sener, A. Zamir, H. Jiang, I. Brilakis, M. Fischer, and S. Savarese · 2016
Earlier work this paper cites.
The EuRoC micro aerial vehicle datasets
M. Burri, J. Nikolic, P. Gohl, T. Schneider, J. Rehder, S. Omari, M.W. Achtelik, and R. Siegwart · 2016
Earlier work this paper cites.
Structure-from-motion revisited
J. L Schonberger and J.-M. Frahm · 2016
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ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
Raúl Mur-Artal and Juan D. Tardós · 2017
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CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
K. Tateno, F. Tombari, I. Laina, and N. Navab · 2017
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CodeSLAM: learning a compact, optimisable representation for dense visual SLAM
M. Bloesch, J. Czarnowski, R. Clark, S. Leutenegger, and A. J. Davison · 2018
Earlier work this paper cites.
MVSNet: Depth inference for unstructured multi-view stereo
Y. Yao, Z. Luo, S. Li, T. Fang, and L. Quan · 2018
Earlier work this paper cites.
The Replica dataset: A digital replica of indoor spaces
J. Straub et al · 2019
Earlier work this paper cites.
NeRF: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
Earlier work this paper cites.
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
A. Rosinol, A. Gupta, M. Abate, J. Shi, and L. Carlone · 2020
Earlier work this paper cites.
Fourier features let networks learn high frequency functions in low dimensional domains
M. Tancik, P. Srinivasan, B. Mildenhall, S. Fridovich-Keil, N. Raghavan, U. Singhal, R. Ramamoorthi, J. Barron, and R. Ng · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Z. Teed and J. Deng · 2020
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TartanAir: A dataset to push the limits of visual SLAM
W. Wang, D. Zhu, X. Wang, Y. Hu, Y. Qiu, C. Wang, Y. Hu, A. Kapoor, and S. Scherer · 2020
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Barf: Bundle-adjusting neural radiance fields
C.-H. Lin, W.-C. Ma, A. Torralba, and S. Lucey · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
M. Oechsle, S. Peng, and A. Geiger · 2021
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Neural scene graphs for dynamic scenes
J. Ost, F. Mannan, N. Thuerey, J. Knodt, and F. Heide · 2021
Implicit object mapping with noisy data
Jad Abou-Chakra, Feras Dayoub, and Niko Sünderhauf · 2022
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Neural RGB-D surface reconstruction
D. Azinović, R. Martin-Brualla, D. B Goldman, M. Nießner, and J. Thies · 2022
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Garf: Gaussian activated radiance fields for high fidelity reconstruction and pose estimation
S.-F. Chng, S. Ramasinghe, J. Sherrah, and S. Lucey · 2022
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Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping
C.-M. et al. Chung · 2022
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Volumetric bundle adjustment for online photorealistic scene capture
R. Clark · 2022
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Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs
A. Rosinol, A. Violette, M. Abate, N. Hughes, Y. Chang, J. Shi, A. Gupta, and L. Carlone · 2021
Cited alongside, same era.
iMAP: Implicit mapping and positioning in real-time
E. Sucar, S. Liu, J. Ortiz, and A. J Davison · 2021
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Neural geometric level of detail: Real-time rendering with implicit 3D shapes
T. Takikawa, J. Litalien, K. Yin, K. Kreis, C. Loop, D. Nowrouzezahrai, A. Jacobson, M. McGuire, and S. Fidler · 2021
Cited alongside, same era.
Droid-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras
Z. Teed and J. Deng · 2021
Cited alongside, same era.
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
P. Wang, L. Liu, Y. Liu, C. Theobalt, T. Komura, and W. Wang · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
L. Yariv, J. Gu, Y. Kasten, and Y. Lipman · 2021
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K. Deng, A. Liu, J.-Y. Zhu, and D. Ramanan · 2022
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Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields
A. Dey, Y. Ahmine, and A. I Comport · 2022
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Tandem: Tracking and dense mapping in real-time using deep multi-view stereo
L. Koestler, N. Yang, N. Zeller, and D. Cremers · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
T. Müller, A. Evans, C. Schied, and A. Keller · 2022
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Probabilistic Volumetric Fusion for Dense Monocular SLAM
A. Rosinol, J. Leonard, and L. Carlone · 2022
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Neuris: Neural reconstruction of indoor scenes using normal priors
J. Wang, P. Wang, X. Long, C. Theobalt, T. Komura, L. Liu, and W. Wang · 2022
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NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields
L. Yen-Chen, P. Florence, J. T Barron, T.-Y. Lin, A. Rodriguez, and P. Isola · 2022
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MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Z. Yu, S. Peng, M. Niemeyer, T. Sattler, and A. Geiger · 2022
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Nice-SLAM: Neural implicit scalable encoding for SLAM
Z. Zhu, S. Peng, V. Larsson, W. Xu, H. Bao, Z. Cui, M. R Oswald, and M. Pollefeys · 2022
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