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There has been extensive progress in the reconstruction and generation of 4D scenes from monocular casually-captured video.
Beyond location parameters: Robust concepts and methods
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Fitting conic sections to “very scattered” data: An iterative refinement of the bookstein algorithm
Paul D. Sampson · 1982
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Robust dynamic motion estimation over time
Michael J Black and Padmanabhan Anandan · 1991
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A gradient-based method for general motion estimation and segmentation
Siu-Fan Wu and Josef Kittler · 1993
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Representing moving images with layers
John YA Wang and Edward H Adelson · 1994
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Mrf-based motion segmentation exploiting a 2d motion model robust estimation
J-M Odobez and Patrick Bouthemy · 1995
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The fundamental matrix: Theory, algorithms, and stability analysis
Quan-Tuan Luong and Olivier D Faugeras · 1996
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Maintaining multiple motion model hypotheses over many views to recover matching and structure
Phil Torr, Andrew W. Fitzgibbon, and Andrew Zisserman · 1998
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Object recognition from local scale-invariant features
David G. Lowe · 1999
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Moving Object Segmentation Using Optical Flow and Depth Information
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andreas Wedel, and Reinhard Klette · 2009
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Object segmentation in video: a hierarchical variational approach for turning point trajectories into dense regions
Peter Ochs and Thomas Brox · 2011
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Computer Vision: Algorithms and Applications
Richard Szeliski · 2011
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A survey of vision-based methods for action representation, segmentation and recognition
Daniel Weinland, Remi Ronfard, and Edmond Boyer · 2011
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A naturalistic open source movie for optical flow evaluation
D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black · 2012
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Video Segmentation by Tracking Many Figure-Ground Segments
Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, and James M. Rehg · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Segmentation of Moving Objects by Long Term Video Analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2014
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Robust Global Translations with 1DSfM
Kyle Wilson and Noah Snavely · 2014
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Theia multiview geometry library: Tutorial & reference
Chris Sweeney · 2015
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Motion segmentation and appearance change detection based 2D hand tracking
Jan Hendrik Hammer, Michael Voit, and Jürgen Beyerer · 2016
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A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Learning smooth neural functions via lipschitz regularization
Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, and Or Litany · 2022
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Segmenting Moving Objects via an Object-Centric Layered Representation
Junyu Xie, Weidi Xie, and Andrew Zisserman · 2022
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Structure and Motion from Casual Videos
Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, and William T. Freeman · 2022
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ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, and Yong-Jin Liu · 2022
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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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Primary object segmentation in videos based on region augmentation and reduction
Yeong Jun Koh and Chang-su Kim · 2017
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The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation
Pia Bideau, Aruni RoyChowdhury, Rakesh R Menon, and Erik Learned-Miller · 2018
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Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation
Hazem Rashed, Ahmad El Sallab, Senthil Yogamani, and Mohamed ElHelw · 2019
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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
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RAFT: Recurrent all-pairs field transforms for optical flow
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Emerging properties in self-supervised vision transformers
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Robust Dynamic Radiance Fields
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Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
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EM-Driven Unsupervised Learning for Efficient Motion Segmentation
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Robustnerf: Ignoring distractors with robust losses
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The surprising effectiveness of diffusion models for optical flow and monocular depth estimation
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LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
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