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Neural rendering can be used to reconstruct implicit representations of shapes without 3D supervision.
The ball-pivoting algorithm for surface reconstruction
F. Bernardini, J. Mittleman, H. Rushmeier, C. Silva, and G. Taubin · 1999
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Poxels: Probabilistic voxelized volume reconstruction
J. S. De Bonet and P. Viola · 1999
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Photorealistic scene reconstruction by voxel coloring
S. M. Seitz and C. R. Dyer · 1999
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A theory of shape by space carving
K. N. Kutulakos and S. M. Seitz · 2000
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A probabilistic framework for space carving
A. Broadhurst, T. W. Drummond, and R. Cipolla · 2001
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Multiple view geometry in computer vision
R. Hartley and A. Zisserman · 2003
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Poisson surface reconstruction
M. Kazhdan, M. Bolitho, and H. Hoppe · 2006
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Efficient multi-view reconstruction of large-scale scenes using interest points, delaunay triangulation and graph cuts
P. Labatut, J.-P. Pons, and R. Keriven · 2007
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Patchmatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman · 2009
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Accurate, dense, and robust multiview stereopsis
Y. Furukawa and J. Ponce · 2009
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Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera
S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe, P. Kohli, J. Shotton, S. Hodges, D. Freeman, A. Davison, et al · 2011
Earlier work this paper cites.
Real-time 3d reconstruction at scale using voxel hashing
M. Nießner, M. Zollhöfer, S. Izadi, and M. Stamminger · 2013
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Large scale multi-view stereopsis evaluation
R. Jensen, A. Dahl, G. Vogiatzis, E. Tola, and H. Aanæs · 2014
Cited alongside, same era.
Gipuma: Massively parallel multi-view stereo reconstruction
S. Galliani, K. Lasinger, and K. Schindler · 2016
Cited alongside, same era.
Structure-from-motion revisited
J. L. Schonberger and J.-M. Frahm · 2016
Cited alongside, same era.
Pixelwise view selection for unstructured multi-view stereo
J. L. Schönberger, E. Zheng, J.-M. Frahm, and M. Pollefeys · 2016
Cited alongside, same era.
Neural sparse voxel fields
L. Liu, J. Gu, K. Zaw Lin, T.-S. Chua, and C. Theobalt · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, and P. P. Srinivasan · 2021
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Sape: Spatially-adaptive progressive encoding for neural optimization
A. Hertz, O. Perel, R. Giryes, O. Sorkine-Hornung, and D. Cohen-Or · 2021
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D2im-net: Learning detail disentangled implicit fields from single images
M. Li and H. Zhang · 2021
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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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Giraffe: Representing scenes as compositional generative neural feature fields
M. Niemeyer and A. Geiger · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
M. Niemeyer, L. Mescheder, M. Oechsle, and A. Geiger · 2020
Cited alongside, same era.
Implicit neural representations with periodic activation functions
V. Sitzmann, J. Martel, A. Bergman, D. Lindell, and G. Wetzstein · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Blendedmvs: A large-scale dataset for generalized multi-view stereo networks
Y. Yao, Z. Luo, S. Li, J. Zhang, Y. Ren, L. Zhou, T. Fang, and L. Quan · 2020
Cited alongside, same era.
Multiview neural surface reconstruction by disentangling geometry and appearance
L. Yariv, Y. Kasten, D. Moran, M. Galun, M. Atzmon, B. Ronen, and Y. Lipman · 2020
Cited alongside, same era.
Nerf++: Analyzing and improving neural radiance fields
K. Zhang, G. Riegler, N. Snavely, and V. Koltun · 2020
Cited alongside, same era.
M. Oechsle, S. Peng, and A. Geiger · 2021
Later among the works it cites.
Nerfies: Deformable neural radiance fields
K. Park, U. Sinha, J. T. Barron, S. Bouaziz, D. B. Goldman, S. M. Seitz, and R. Martin-Brualla · 2021
Later among the works it cites.
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
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Volume rendering of neural implicit surfaces
L. Yariv, J. Gu, Y. Kasten, and Y. Lipman · 2021
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Improving neural implicit surfaces geometry with patch warping
F. Darmon, B. Bascle, J.-C. Devaux, P. Monasse, and M. Aubry · 2022
Closest in time.
Geometry-consistent neural shape representation with implicit displacement fields
W. Yifan, L. Rahmann, and O. Sorkine-hornung · 2022
Closest in time.