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Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited.
Ray tracing volume densities
James T Kajiya and Brian P Von Herzen · 1984
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Photorealistic scene reconstruction by voxel coloring
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A theory of shape by space carving
Kiriakos N Kutulakos and Steven M Seitz · 2000
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Efficient multi-view reconstruction of large-scale scenes using interest points, delaunay triangulation and graph cuts
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Large scale multi-view stereopsis evaluation
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Massively parallel multiview stereopsis by surface normal diffusion
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
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Surfacenet: An end-to-end 3d neural network for multiview stereopsis
Mengqi Ji, Juergen Gall, Haitian Zheng, Yebin Liu, and Lu Fang · 2017
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Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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MVSNet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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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
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BlendedMVS: A large-scale dataset for generalized multi-view stereo networks
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Multiview neural surface reconstruction by disentangling geometry and appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman · 2020
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Visibility-aware multi-view stereo network
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Fast training of neural lumigraph representations using meta learning
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Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo
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Cascade cost volume for high-resolution multi-view stereo and stereo matching
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