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In this paper we tackle the problem of learning Structure-from-Motion (SfM) through the use of graph attention networks.
A factorization based algorithm for multi-image projective structure and motion
Peter Sturm and Bill Triggs · 1996
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In defense of the eight-point algorithm
Richard Hartley · 1997
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Bundle adjustment - a modern synthesis
Bill Triggs, Philip F. McLauchlan, Richard I. Hartley, and Andrew W. Fitzgibbon · 1999
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Critical configurations for n-view projective reconstruction
Fredrik Kahl, Richard Hartley, and Kalle Astrom · 2001
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Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman · 2004
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An efficient solution to the five-point relative pose problem
David Nister · 2004
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Critical configurations for projective reconstruction from multiple views
Richard Hartley and Fredrik Kahl · 2007
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Quasiconvex optimization for robust geometric reconstruction
Q. Ke and T. Kanade · 2007
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Multiple view geometry under the
Fredrik Kahl and Richard Hartley · 2008
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Practical global optimization for multiview geometry
Fredrik Kahl, Sameer Agarwal, Manmohan Chandraker, David Kriegman, and Serge Belongie · 2008
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Building rome in a day
Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, and Richard Szeliski · 2009
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Sparse sparse bundle adjustment
Kurt Konolige · 2010
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Non-sequential structure from motion
Olof Enqvist, Fredrik Kahl, and Carl Olsson · 2011
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Stable structure from motion for unordered image collections
Carl Olsson and Olof Enqvist · 2011
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Projective multiview structure and motion from element-wise factorization
Yuchao Dai, Hongdong Li, and Mingyi He · 2013
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A global linear method for camera pose registration
Nianjuan Jiang, Zhaopeng Cui, and Ping Tan · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Layer normalization, 2016
Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Projective bundle adjustment from arbitrary initialization using the variable projection method
Je Hyeong Hong, Christopher Zach, Andrew Fitzgibbon, and Roberto Cipolla · 2016
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Nerf: Representing scenes as neural radiance fields for view synthesis, 2020
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Neurora: Neural robust rotation averaging
Pulak Purkait, Tat-Jun Chin, and Ian Reid · 2020
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Deepsfm: Structure from motion via deep bundle adjustment
Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, and Xiangyang Xue · 2020
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Rotation averaging with the chordal distance: Global minimizers and strong duality
Anders Eriksson, Carl Olsson, Fredrik Kahl, and Tat-Jun Chin · 2021
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Deep permutation equivariant structure from motion
Dror Moran, Hodaya Koslowsky, Yoni Kasten, Haggai Maron, Meirav Galun, and Ronen Basri · 2021
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Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Revisiting the variable projection method for separable nonlinear least squares problems
Je Hyeong Hong, Christopher Zach, and Andrew Fitzgibbon · 2017
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Practical projective structure from motion (p2sfm)
Ludovic Magerand and Alessio Del Bue · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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pOSE: Pseudo object space error for initialization-free bundle adjustment
Christopher Zach and Je Hyeong Hong · 2018
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Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou · 2021
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Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, and Jie Zhou · 2021
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How attentive are graph attention networks?
Shaked Brody, Uri Alon, and Eran Yahav · 2022
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A case for using rotation invariant features in state of the art feature matchers
Georg Bökman and Fredrik Kahl · 2022
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TensoRF: Tensorial Radiance Fields , pages 333–350
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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expOSE: Accurate initialization-free projective factorization using exponential regularization
José Pedro Iglesias, Amanda Nilsson, and Carl Olsson · 2023
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PoseDiffusion: Solving pose estimation via diffusion-aided bundle adjustment
Jianyuan Wang, Christian Rupprecht, and David Novotny · 2023
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Steerers: A framework for rotation equivariant keypoint descriptors
Georg Bökman, Johan Edstedt, Michael Felsberg, and Fredrik Kahl · 2024
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