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We propose ProTracker, a novel framework for accurate and robust long-term dense tracking of arbitrary points in videos.
A new approach to linear filtering and prediction problems
Rudolph Emil Kalman · 1960
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Determining optical flow
Berthold KP Horn and Brian G Schunck · 1981
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An iterative image registration technique with an application to stereo vision
Bruce D Lucas and Takeo Kanade · 1981
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High accuracy optical flow estimation based on a theory for warping
Thomas Brox, Andrés Bruhn, Nils Papenberg, and Joachim Weickert · 2004
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Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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Particle video: Long-range motion estimation using point trajectories
P. Sand and S. Teller · 2006
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Large displacement optical flow
Thomas Brox, Christoph Bregler, and Jitendra Malik · 2009
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Orb: An efficient alternative to sift or surf
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
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Towards longer long-range motion trajectories
Michael Rubinstein and Ce Liu · 2012
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alexander Sorkine-Hornung, and Luc Van Gool · 2017
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Creatures great and SMAL: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, and Roberto Cipolla · 2018
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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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Dgc-net: Dense geometric correspondence network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, and Juho Kannala · 2019
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End-to-end object detection with transformers, 2020
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Efficient neighbourhood consensus networks via submanifold sparse convolutions
Ignacio Rocco, Relja Arandjelović, and Josef Sivic · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
Cited alongside, same era.
Glu-net: Global-local universal network for dense flow and correspondences
Prune Truong, Martin Danelljan, and Radu Timofte · 2020
Cited alongside, same era.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Cited alongside, same era.
Cats: Cost aggregation transformers for visual correspondence
Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, and Seungryong Kim · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Zero-shot image feature consensus with deep functional maps
Xinle Cheng, Congyue Deng, Adam Harley, Yixin Zhu, and Leonidas Guibas · 2024
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BootsTAP: Bootstrapped training for tracking-any-point
Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, and Andrew Zisserman · 2024
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Videoswap: Customized video subject swapping with interactive semantic point correspondence
Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, and Kevin Tang · 2024
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Unsupervised semantic correspondence using stable diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, and Kwang Moo Yi · 2024
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Cotracker3: Simpler and better point tracking by pseudo-labelling real videos
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Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
TAP-vid: A benchmark for tracking any point in a video
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adria Recasens, Lucas Smaira, Yusuf Aytar, Joao Carreira, Andrew Zisserman, and Yi Yang · 2022
Cited alongside, same era.
Particle video revisited: Tracking through occlusions using point trajectories
Adam W Harley, Zhaoyuan Fang, and Katerina Fragkiadaki · 2022
Cited alongside, same era.
Flowformer: A transformer architecture for optical flow
Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, and Hongsheng Li · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Cotracker: It is better to track together
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2023
Cited alongside, same era.
Nikita Karaev, Iurii Makarov, Jianyuan Wang, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2024
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Mosca: Dynamic gaussian fusion from casual videos via 4d motion scaffolds, 2024
Jiahui Lei, Yijia Weng, Adam Harley, Leonidas Guibas, and Kostas Daniilidis · 2024
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Decomposition betters tracking everything everywhere
Rui Li and Dong Liu · 2024
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Diffusion hyperfeatures: Searching through time and space for semantic correspondence
Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, and Trevor Darrell · 2024
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Mft: Long-term tracking of every pixel
Michal Neoral, Jonáš Šerỳch, and Jiří Matas · 2024
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Sam 2: Segment anything in images and videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, and Christoph Feichtenhofer · 2024
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Track everything everywhere fast and robustly
Yunzhou Song, Jiahui Lei, Ziyun Wang, Lingjie Liu, and Kostas Daniilidis · 2024
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Dynamic gaussian marbles for novel view synthesis of casual monocular videos, 2024
Colton Stearns, Adam Harley, Mikaela Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, and Leonidas Guibas · 2024
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Dino-tracker: Taming dino for self-supervised point tracking in a single video, 2024
Narek Tumanyan, Assaf Singer, Shai Bagon, and Tali Dekel · 2024
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Shape of motion: 4d reconstruction from a single video
Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, and Angjoo Kanazawa · 2024
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Spatialtracker: Tracking any 2d pixels in 3d space
Yuxi Xiao, Qianqian Wang, Shangzhan Zhang, Nan Xue, Sida Peng, Yujun Shen, and Xiaowei Zhou · 2024
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Telling left from right: Identifying geometry-aware semantic correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, and Ming-Hsuan Yang · 2024
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