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Neural volume rendering became increasingly popular recently due to its success in synthesizing novel views of a scene from a sparse set of input images.
Marching cubes: A high resolution 3d surface construction algorithm
W. E. Lorensen and H. E. Cline · 1987
Earlier work this paper cites.
Optical models for direct volume rendering
N. Max · 1995
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Poxels: Probabilistic voxelized volume reconstruction
J. S. De Bonet and P. Viola · 1999
Earlier work this paper cites.
Photorealistic scene reconstruction by voxel coloring
S. M. Seitz and C. R. Dyer · 1999
Earlier work this paper cites.
A probabilistic framework for space carving
A. Broadhurst, T. Drummond, and R. Cipolla · 2001
Earlier work this paper cites.
Poisson Surface Reconstruction
M. Kazhdan, M. Bolitho, and H. Hoppe · 2006
Earlier work this paper cites.
PatchMatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman · 2009
Earlier work this paper cites.
Accurate, dense, and robust multiview stereopsis
Y. Furukawa and J. Ponce · 2010
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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
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Massively parallel multiview stereopsis by surface normal diffusion
S. Galliani, K. Lasinger, and K. Schindler · 2015
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Pixelwise view selection for unstructured multi-view stereo
J. L. Schönberger, E. Zheng, M. Pollefeys, and J.-M. Frahm · 2016
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Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration
A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt · 2017
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Cited alongside, same era.
Sal: Sign agnostic learning of shapes from raw data
M. Atzmon and Y. Lipman · 2019
Cited alongside, same era.
Learning shape templates with structured implicit functions
K. Genova, F. Cole, D. Vlasic, A. Sarna, W. T. Freeman, and T. Funkhouser · 2019
Cited alongside, same era.
Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
S. Liu, Y. Zhang, S. Peng, B. Shi, M. Pollefeys, and Z. Cui · 2019
Cited alongside, same era.
Neural volumes: Learning dynamic renderable volumes from images
S. Lombardi, T. Simon, J. Saragih, G. Schwartz, A. Lehrmann, and Y. Sheikh · 2019
Cited alongside, same era.
Neural volume rendering: Nerf and beyond
F. Dellaert and L. Yen-Chen · 2020
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Implicit geometric regularization for learning shapes
A. Gropp, L. Yariv, N. Haim, M. Atzmon, and Y. Lipman · 2020
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Neural sparse voxel fields
L. Liu, J. Gu, K. Zaw Lin, T.-S. Chua, and C. Theobalt · 2020
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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
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Learning implicit surface light fields
M. Oechsle, M. Niemeyer, L. Mescheder, T. Strauss, and A. Geiger · 2020
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Occupancy networks: Learning 3d reconstruction in function space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
Cited alongside, same era.
Implicit surface representations as layers in neural networks
M. Michalkiewicz, J. K. Pontes, D. Jack, M. Baktashmotlagh, and A. Eriksson · 2019
Cited alongside, same era.
Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
M. Niemeyer, L. Mescheder, M. Oechsle, and A. Geiger · 2019
Cited alongside, same era.
Occupancy flow: 4d reconstruction by learning particle dynamics
M. Niemeyer, L. Mescheder, M. Oechsle, and A. Geiger · 2019
Cited alongside, same era.
Texture fields: Learning texture representations in function space
M. Oechsle, L. Mescheder, M. Niemeyer, T. Strauss, and A. Geiger · 2019
Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation
J. J. Park, P. Florence, J. Straub, R. Newcombe, and S. Lovegrove · 2019
Cited alongside, same era.
Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
S. Saito, Z. Huang, R. Natsume, S. Morishima, A. Kanazawa, and H. Li · 2019
Cited alongside, same era.
Convolutional occupancy networks
S. Peng, M. Niemeyer, L. Mescheder, M. Pollefeys, and A. Geiger · 2020
Later among the works it cites.
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
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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
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Nerf-pytorch
L. Yen-Chen · 2020
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Nerf++: Analyzing and improving neural radiance fields
K. Zhang, G. Riegler, N. Snavely, and V. Koltun · 2020
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Neural lumigraph rendering
P. Kellnhofer, L. Jebe, A. Jones, R. Spicer, K. Pulli, and G. Wetzstein · 2021
Closest in time.
Phase transitions, distance functions, and implicit neural representations
Y. Lipman · 2021
Closest in time.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
M. Oechsle, S. Peng, and A. Geiger · 2021
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis
P. P. Srinivasan, B. Deng, X. Zhang, M. Tancik, B. Mildenhall, and J. T. Barron · 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
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