Fetching the paper…
Reading the bibliography…
Recently, neural implicit surfaces learning by volume rendering has become popular for multi-view reconstruction.
A polyhedron representation for computer vision
Bruce G Baumgart · 1975
Earlier work this paper cites.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
Earlier work this paper cites.
Three-dimensional reconstruction of complex shapes based on the delaunay triangulation
Jean-Daniel Boissonnat and Bernhard Geiger · 1993
Earlier work this paper cites.
Optical models for direct volume rendering
Nelson Max · 1995
Earlier work this paper cites.
A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
Earlier work this paper cites.
Photorealistic scene reconstruction by voxel coloring
Steven M Seitz and Charles R Dyer · 1999
Earlier work this paper cites.
A probabilistic framework for space carving
Adrian Broadhurst, Tom W Drummond, and Roberto Cipolla · 2001
Earlier work this paper cites.
Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman · 2004
Earlier work this paper cites.
Photo tourism: exploring photo collections in 3d
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2006
Earlier work this paper cites.
Efficient multi-view reconstruction of large-scale scenes using interest points, delaunay triangulation and graph cuts
Patrick Labatut, Jean-Philippe Pons, and Renaud Keriven · 2007
Earlier work this paper cites.
Robust and efficient surface reconstruction from range data
Patrick Labatut, J-P Pons, and Renaud Keriven · 2009
Earlier work this paper cites.
Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2010
Earlier work this paper cites.
Screened poisson surface reconstruction
Michael Kazhdan and Hugues Hoppe · 2013
Earlier work this paper cites.
Massively parallel multiview stereopsis by surface normal diffusion
S. Galliani, K. Lasinger, and K. Schindler · 2015
Earlier work this paper cites.
Large-scale data for multiple-view stereopsis
Henrik Aanæs, Rasmus Ramsbøl Jensen, George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
Cited alongside, same era.
Pixelwise view selection for unstructured multi-view stereo
Johannes L. Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
Cited alongside, same era.
Learning a multi-view stereo machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
Cited alongside, same era.
Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
Open3d: A modern library for 3d data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
Cited alongside, same era.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
Later among the works it cites.
Planar prior assisted patchmatch multi-view stereo
Qingshan Xu and Wenbing Tao · 2020
Later among the works it cites.
Pvsnet: Pixelwise visibility-aware multi-view stereo network
Qingshan Xu and Wenbing Tao · 2020
Later among the works it cites.
Blendedmvs: A large-scale dataset for generalized multi-view stereo networks
Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, and Long Quan · 2020
Later among the works it cites.
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
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Cited alongside, same era.
Multi-scale geometric consistency guided multi-view stereo
Qingshan Xu and Wenbing Tao · 2019
Cited alongside, same era.
Sal: Sign agnostic learning of shapes from raw data
Matan Atzmon and Yaron Lipman · 2020
Cited alongside, same era.
Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
Cited alongside, same era.
Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 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.
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
Later among the works it cites.
Improving neural implicit surfaces geometry with patch warping
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, and Mathieu Aubry · 2021
Later among the works it cites.
Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Later among the works it cites.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
Later among the works it cites.
Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen · 2021
Later among the works it cites.
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
Later among the works it cites.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Later among the works it cites.
Learning signed distance field for multi-view surface reconstruction
Jingyang Zhang, Yao Yao, and Long Quan · 2021
Later among the works it cites.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
Closest in time.