Fetching the paper…
Reading the bibliography…
Recent works on implicit neural representations have shown promising results for multi-view surface reconstruction.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
Earlier work this paper cites.
A space-sweep approach to true multi-image matching
Robert T Collins · 1996
Earlier work this paper cites.
A quasi-dense approach to surface reconstruction from uncalibrated images
Maxime Lhuillier and Long Quan · 2005
Earlier work this paper cites.
Carved visual hulls for image-based modeling
Yasutaka Furukawa and Jean Ponce · 2006
Earlier work this paper cites.
Multi-view stereo revisited
Michael Goesele, Brian Curless, and Steven M Seitz · 2006
Earlier work this paper cites.
A comparison and evaluation of multi-view stereo reconstruction algorithms
Steven M Seitz, Brian Curless, James Diebel, Daniel Scharstein, 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.
Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score
Jean-Philippe Pons, Renaud Keriven, and Olivier Faugeras · 2007
Earlier work this paper cites.
Using multiple hypotheses to improve depth-maps for multi-view stereo
Neill DF Campbell, George Vogiatzis, Carlos Hernández, and Roberto Cipolla · 2008
Earlier work this paper cites.
On benchmarking camera calibration and multi-view stereo for high resolution imagery
Christoph Strecha, Wolfgang Von Hansen, Luc Van Gool, Pascal Fua, and Ulrich Thoennessen · 2008
Earlier work this paper cites.
Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
Earlier work this paper cites.
Patchmatch stereo-stereo matching with slanted support windows
Michael Bleyer, Christoph Rhemann, and Carsten Rother · 2011
Earlier work this paper cites.
Gradient flows for optimizing triangular mesh-based surfaces: Applications to 3d reconstruction problems dealing with visibility
Amaël Delaunoy and Emmanuel Prados · 2011
Earlier work this paper cites.
High accuracy and visibility-consistent dense multiview stereo
Hoang-Hiep Vu, Patrick Labatut, Jean-Philippe Pons, and Renaud Keriven · 2011
Earlier work this paper cites.
Efficient large-scale multi-view stereo for ultra high-resolution image sets
Engin Tola, Christoph Strecha, and Pascal Fua · 2012
Earlier work this paper cites.
Screened poisson surface reconstruction
Michael Kazhdan and Hugues Hoppe · 2013
Earlier work this paper cites.
Photometric bundle adjustment for dense multi-view 3d modeling
Amaël Delaunoy and Marc Pollefeys · 2014
Earlier work this paper cites.
Large scale multi-view stereopsis evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engil Tola, and Henrik Aanæs · 2014
Earlier work this paper cites.
Multi-view stereo: A tutorial
Yasutaka Furukawa and Carlos Hernández · 2015
Cited alongside, same era.
Massively parallel multiview stereopsis by surface normal diffusion
Silvano Galliani, Katrin Lasinger, and Konrad Schindler · 2015
Cited alongside, same era.
Efficient multi-view surface refinement with adaptive resolution control
Shiwei Li, Sing Yu Siu, Tian Fang, and Long Quan · 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.
Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Cited alongside, same era.
Recurrent mvsnet for high-resolution multi-view stereo depth inference
Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, and Long Quan · 2019
Later among the works it cites.
Pyramid feature attention network for saliency detection
Ting Zhao and Xiangqian Wu · 2019
Later among the works it cites.
Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
Later among the works it cites.
Cascade cost volume for high-resolution multi-view stereo and stereo matching
Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, and Ping Tan · 2020
Later among the works it cites.
Differentiable rendering: A survey
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, and Adrien Gaidon · 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…
Deepmvs: Learning multi-view stereopsis
Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, and Jia-Bin Huang · 2018
Cited alongside, same era.
Raynet: Learning volumetric 3d reconstruction with ray potentials
Despoina Paschalidou, Osman Ulusoy, Carolin Schmitt, Luc Van Gool, and Andreas Geiger · 2018
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.
Learning to infer implicit surfaces without 3d supervision
Shichen Liu, Shunsuke Saito, Weikai Chen, and Hao Li · 2019
Cited alongside, same era.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Cited alongside, same era.
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, and Friedrich Fraundorfer · 2020
Later among the works it cites.
Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
Later among the works it cites.
Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui · 2020
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 · 2020
Later among the works it cites.
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
Later among the works it cites.
Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
Later among the works it cites.
Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 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.
Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement
Zehao Yu and Shenghua Gao · 2020
Later among the works it cites.
Visibility-aware multi-view stereo network
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, and Tian Fang · 2020
Later among the works it cites.
Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
Later among the works it cites.
Patchmatchnet: Learned multi-view patchmatch stereo
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, and Marc Pollefeys · 2021
Closest in time.