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The test-time optimization of scene flow - using a coordinate network as a neural prior - has gained popularity due to its simplicity, lack of dataset bias, and state-of-the-art performance.
On isometries of euclidean spaces
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A density-based algorithm for discovering clusters in large spatial databases with noise
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Approximate isometries on euclidean spaces
Rajendra Bhatia and Peter Šemrl · 1997
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A multibody factorization method for independently moving objects
Joao Paulo Costeira and Takeo Kanade · 1998
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Three-dimensional scene flow
Sundar Vedula, Simon Baker, Peter Rander, Robert Collins, and Takeo Kanade · 1999
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A spectral technique for correspondence problems using pairwise constraints
Marius Leordeanu and Martial Hebert · 2005
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3d scene flow estimation with a rigid motion prior
Christoph Vogel, Konrad Schindler, and Stefan Roth · 2011
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Piecewise rigid scene flow
Christoph Vogel, Konrad Schindler, and Stefan Roth · 2013
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Dense semi-rigid scene flow estimation from rgbd images
Julian Quiroga, Thomas Brox, Frédéric Devernay, and James Crowley · 2014
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Object scene flow for autonomous vehicles
Moritz Menze and Andreas Geiger · 2015
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3d scene flow estimation with a piecewise rigid scene model
Christoph Vogel, Konrad Schindler, and Stefan Roth · 2015
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Rigid scene flow for 3d lidar scans
Ayush Dewan, Tim Caselitz, Gian Diego Tipaldi, and Wolfram Burgard · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
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Open3d: A modern library for 3d data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
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Pointflownet: Learning representations for rigid motion estimation from point clouds
Aseem Behl, Despoina Paschalidou, Simon Donné, and Andreas Geiger · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds
Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, and Panqu Wang · 2019
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Clusterslam: A slam backend for simultaneous rigid body clustering and motion estimation
Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, and Shi-Min Hu · 2019
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Velodyne lidar puck
Velodyne LiDAR · 2019
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Deep rigid instance scene flow
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, and Raquel Urtasun · 2019
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Just go with the flow: Self-supervised scene flow estimation
Himangi Mittal, Brian Okorn, and David Held · 2020
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Scene flow from point clouds with or without learning
Jhony Kaesemodel Pontes, James Hays, and Simon Lucey · 2020
Cited alongside, same era.
Flot: Scene flow on point clouds guided by optimal transport
Gilles Puy, Alexandre Boulch, and Renaud Marlet · 2020
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Pv-raft: Point-voxel correlation fields for scene flow estimation of point clouds
Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, and Jie Zhou · 2021
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Rms-flownet: Efficient and robust multi-scale scene flow estimation for large-scale point clouds
Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, and Didier Stricker · 2022
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Bi-pointflownet: Bidirectional learning for point cloud based scene flow estimation
Wencan Cheng and Jong Hwan Ko · 2022
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Exploiting rigidity constraints for lidar scene flow estimation
Guanting Dong, Yueyi Zhang, Hanlin Li, Xiaoyan Sun, and Zhiwei Xiong · 2022
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Dynamic 3d scene analysis by point cloud accumulation
Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, and Konrad Schindler · 2022
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
Cited alongside, same era.
Self-supervised learning of non-rigid residual flow and ego-motion
Ivan Tishchenko, Sandro Lombardi, Martin R Oswald, and Marc Pollefeys · 2020
Cited alongside, same era.
Flownet3d++: Geometric losses for deep scene flow estimation
Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Prisacariu, and Min Chen · 2020
Cited alongside, same era.
Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation
Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, and Li Fuxin · 2020
Cited alongside, same era.
Pointdsc: Robust point cloud registration using deep spatial consistency
Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen, Lei Li, Zeyu Hu, Hongbo Fu, and Chiew-Lan Tai · 2021
Cited alongside, same era.
Slim: Self-supervised lidar scene flow and motion segmentation
Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, and Andreas Geiger · 2021
Cited alongside, same era.
Zhao Jin, Yinjie Lei, Naveed Akhtar, Haifeng Li, and Munawar Hayat · 2022
Later among the works it cites.
Rigidflow: Self-supervised scene flow learning on point clouds by local rigidity prior
Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, and Chunhua Shen · 2022
Later among the works it cites.
Motion inspired unsupervised perception and prediction in autonomous driving
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R Qi, Xinchen Yan, Scott Ettinger, and Dragomir Anguelov · 2022
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Re-evaluating lidar scene flow for autonomous driving
Nathaniel Chodosh, Deva Ramanan, and Simon Lucey · 2023
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Rsf: Optimizing rigid scene flow from 3d point clouds without labels
David Deng and Avideh Zakhor · 2023
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Pt-flownet: Scene flow estimation on point clouds with point transformer
Jingyun Fu, Zhiyu Xiang, Chengyu Qiao, and Tingming Bai · 2023
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Scoop: Self-supervised correspondence and optimization-based scene flow
Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, and Michael Rubinstein · 2023
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Fast neural scene flow
Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, and Simon Lucey · 2023
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Zeroflow: Fast zero label scene flow via distillation
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, and James Hays · 2023
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3d point-voxel correlation fields for scene flow estimation
Ziyi Wang, Yi Wei, Yongming Rao, Jie Zhou, and Jiwen Lu · 2023
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Pointconvformer: Revenge of the point-based convolution
Wenxuan Wu, Li Fuxin, and Qi Shan · 2023
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