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Dynamic 3D reconstruction and point tracking in videos are typically treated as separate tasks, despite their deep connection.
Sur le point pour lequel la somme des distances de n points donnés est minimum
Endre Weiszfeld · 1937
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Berthold KP Horn and Brian G Schunck · 1981
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Bruce D Lucas and Takeo Kanade · 1981
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Least-squares estimation of transformation parameters between two point patterns
Shinji Umeyama · 1991
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Hugh Durrant-Whyte and Tim Bailey · 2006
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Michael Rubinstein, Ce Liu, and William T Freeman · 2012
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A benchmark for the evaluation of RGB-D SLAM systems
Jürgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, and Daniel Cremers · 2012
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A simple prior-free method for non-rigid structure-from-motion factorization
Yuchao Dai, Hongdong Li, and Mingyi He · 2014
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Grouping-based low-rank trajectory completion and 3d reconstruction
Katerina Fragkiadaki, Marta Salas, Pablo Arbelaez, and Jitendra Malik · 2014
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Orb-slam: A versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
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Panoptic studio: A massively multiview system for social interaction capture, 2016
Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Sparseness meets deepness: 3d human pose estimation from monocular video
Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G Derpanis, and Kostas Daniilidis · 2016
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Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks
Sen Wang, Ronald Clark, Hongkai Wen, and Niki Trigoni · 2017
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Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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C3dpo: Canonical 3d pose networks for non-rigid structure from motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, and Andrea Vedaldi · 2019
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Self-supervised monocular scene flow estimation
Junhwa Hur and Stefan Roth · 2020
TAPIR: Tracking any point with per-frame initialization and temporal refinement
Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joao Carreira, and Andrew Zisserman · 2023
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K-planes: Explicit radiance fields in space, time, and appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
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Dynamicstereo: Consistent dynamic depth from stereo videos
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2023
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Dynibar: Neural dynamic image-based rendering
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, and Noah Snavely · 2023
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Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis, 2023
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2023
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Raft: Recurrent all-pairs field transforms for optical flow, 2020
Zachary Teed and Jia Deng · 2020
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Robust consistent video depth estimation
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M Seitz · 2021
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Vision transformers for dense prediction
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Xiaqing Pan, Nicholas Charron, Yongqian Yang, Scott Peters, Thomas Whelan, Chen Kong, Omkar Parkhi, Richard Newcombe, and Carl Yuheng Ren · 2023
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Dust3r: Geometric 3d vision made easy
Shuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, and Jérôme Revaud · 2023
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Pointodyssey: A large-scale synthetic dataset for long-term point tracking
Yang Zheng, Adam W Harley, Bokui Shen, Gordon Wetzstein, and Leonidas J Guibas · 2023
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Stereo4d: Learning how things move in 3d from internet stereo videos
Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, and Aleksander Holynski · 2024
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Tapvid-3d: A benchmark for tracking any point in 3d, 2024
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MoSca: Dynamic gaussian fusion from casual videos via 4d motion scaffolds
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Modgs: Dynamic gaussian splatting from casually-captured monocular videos, 2024
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4d gaussian splatting for real-time dynamic scene rendering
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MegaSaM: Accurate, fast, and robust structure and motion from casual dynamic videos
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DELTA: Dense efficient long-range 3d tracking for any video
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Continuous 3d perception model with persistent state
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MonST3R: A simple approach for estimating geometry in the presence of motion
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